Course,Participant,Participant,box30_med_decision,box30_med_confidence,box30_med_forecast,box30_med_max,box30_med_min,box30_nomed_decision,box30_nomed_confidence,box30_nomed_forecast,box30_nomed_max,box30_nomed_min,box50_med_decision,box50_med_confidence,box50_med_forecast,box50_med_max,box50_med_min,box50_nomed_decision,box50_nomed_confidence,box50_nomed_forecast,box50_nomed_max,box50_nomed_min,box70_med_decision,box70_med_confidence,box70_med_forecast,box70_med_max,box70_med_min,box70_nomed_decision,box70_nomed_confidence,box70_nomed_forecast,box70_nomed_max,box70_nomed_min,fan_30_med_decision,fan_30_med_confidence,fan_30_med_forecast,fan_30_med_max,fan_30_med_min,fan_30_nomed_decision,fan_30_nomed_confidence,fan_30_nomed_forecast,fan_30_nomed_max,fan_30_nomed_min,fan_50_med_decision,fan_50_med_confidence,fan_50_med_forecast,fan_50_med_max,fan_50_med_min,fan_50_nomed_decision,fan_50_nomed_confidence,fan_50_nomed_forecast,fan_50_nomed_max,fan_50_nomed_min,fan_70_med_decision,fan_70_med_confidence,fan_70_med_forecast,fan_70_med_max,fan_70_med_min,fan_70_nomed_decision,fan_70_nomed_confidence,fan_70_nomed_forecast,fan_70_nomed_max,fan_70_nomed_min,line_30_decision,line_30_confidence,line_30_forecast,line_30_max,line_30_min,line_50_decision,line_50_confidence,line_50_forecast,line_50_max,line_50_min,line_70_decision,line_70_confidence,line_70_forecast,line_70_max,line_70_min,spaghetti30_med_decision,spaghetti30_med_confidence,spaghetti30_med_forecast,spaghetti30_med_max,spaghetti30_med_min,spaghetti30_nomed_decision,spaghetti30_nomed_confidence,spaghetti30_nomed_forecast,spaghetti30_nomed_max,spaghetti30_nomed_min,spaghetti50_med_decision,spaghetti50_med_confidence,spaghetti50_med_forecast,spaghetti50_med_max,spaghetti50_med_min,spaghetti50_nomed_decision,spaghetti50_nomed_confidence,spaghetti50_nomed_forecast,spaghetti50_nomed_max,spaghetti50_nomed_min,spaghetti70_med_decision,spaghetti70_med_confidence,spaghetti70_med_forecast,spaghetti70_med_max,spaghetti70_med_min,spaghetti70_nomed_decision,spaghetti70_nomed_confidence,spaghetti70_nomed_forecast,spaghetti70_nomed_max,spaghetti70_nomed_min,REVIEW_important,REVIEW_useful,REVIEW_further_info,REVIEW_degree_course,course,REVIEW_degree_years_completed,REVIEW_age,REVIEW_gender,REVIEW_further_comments
Meteorology,1,Meteorology1,0,6.96,0.5,1.4,0.3,1,5.61,1.1,1.5,0,1,3.21,1.1,1.6,0.4,0,2.04,0.7,1.5,0.4,1,7.78,1.2,1.9,0.5,1,5.4,1.3,1.9,0.5,1,5.98,0.6,1.5,0.3,1,0.51,0.9,1.6,0.4,1,4.11,1.1,1.5,0.4,1,2.99,1.2,1.6,0.4,1,7.57,1.2,1.8,0.4,1,8.79,1.4,2.3,0.4,0,9.98,0.6,0.7,0.6,1,7.39,1.1,1.1,1.1,1,7.81,1.3,1.5,1.1,0,8.05,0.6,1.5,0.3,0,6.86,0.5,1.4,0.3,1,7.17,1.1,1.5,0.5,0,1.99,0.8,1.5,0.5,1,8.81,1.3,2.1,0.2,1,7.92,1.2,2,0.6,9.068901304,9.964221825,A map with ship route and locations of thickness of ice. Would be able to more accurately predict which ship would be best to take,MSc Applied Meteorology,Master,0,21,Male,
Meteorology,2,Meteorology2,1,1.7,0.6,1.8,0.25,1,1.99,0.9,1.75,0.25,1,6.46,1.05,2.1,0.25,1,2.92,0.9,2.1,0.2,1,9.82,1.2,2.4,0.1,1,8.31,1.2,2.4,0.1,0,1.91,0.5,1.4,0.2,1,3.26,0.9,1.8,0.2,1,4.58,1.05,2,0.2,1,4.93,1,2.1,0.2,1,7.41,1.25,2.4,0,1,8.44,1.4,2.3,0.25,0,0.61,0.55,0.9,0.2,0,8.21,0.6,1,0.2,0,0.3,0.6,1,0.2,0,0.75,0.55,1.5,0.25,0,2.17,0.6,1.8,0.2,1,6.27,1.05,2,0.3,1,0.48,1.1,2,0.25,1,6.38,1.3,2.4,0,1,5.11,1.3,2.3,0,7.895716946,7.781753131,Mean on every graph%2C percentiles on every graph,Meteorology,,0,22,Male,
Meteorology,3,Meteorology3,1,7.68,0.8,2.2,0.2,1,7.02,0.9,1.8,0.2,1,6.57,1.1,2.2,0.2,1,7.33,1,2.2,0.3,1,7.44,1.2,2.4,0,1,6.7,1.2,2.6,0,1,5.88,0.5,1.8,0.2,1,6.8,1,1.8,0.2,1,7.89,1.1,2.2,0.2,1,7.47,1.2,2.2,0.2,1,7.84,1.2,2.4,0,1,7.57,1.4,2.4,0,0,1.2,0.7,0.9,0.5,1,2.62,1.1,1.2,1,1,6.04,1.2,1.3,1.1,1,4.82,0.5,1.8,0.2,1,6.88,1,2.3,0.2,1,7.7,1.1,2.2,0.2,1,7.39,1.1,2.2,0.2,1,6.94,1.3,2.5,0,1,6.78,1.2,2.4,0,9.795158287,9.856887299,Could be the errors or bias that the model have in different times of the year. For example%3A in winter it tend to overestimate the ice thickness by 20%25 or it would be better to include that in the graphs trying not to make it so complicated.,MSc atmosphere ocean and climate,Master,0,23,Male,
Meteorology,4,Meteorology4,0,7.31,0.7,1.5,0.3,0,8.07,0.8,1.5,0.5,1,6.59,1.1,1.5,0.5,0,4.03,0.9,1.5,0.4,1,7.73,1.2,2.2,0.4,1,7.15,1.3,1.8,0.7,0,6.14,0.6,1.5,0.4,0,8.13,0.8,1.5,0.3,1,5.08,1,1.6,0.5,1,7.47,1.1,2,0.4,1,7.57,1.3,2,0.5,1,6.59,1.3,1.9,0.4,0,6.25,0.6,1.2,0.3,1,6.06,1.1,1.3,0.8,1,8.95,1.3,1.8,0.8,0,6.22,0.7,1.3,0.3,0,8.26,0.6,1.2,0.3,1,4.95,1.2,2,0.4,1,3.26,1,1.8,0.5,1,8.47,1.4,2.3,0.7,1,7.31,1.3,2.2,0.6,7.82122905,7.137745975,Trend after 72 hours%2C forecasts for other related component such as weather charts,MSc in Applied Meteorology,Master,0,22,M,
Meteorology,5,Meteorology5,0,8.39,0.6,1.6,0.4,0,5.27,0.9,1.7,0.4,0,5.32,1,2,0.4,0,5.24,1,2,0.3,1,7.17,1.2,2.3,0.1,1,5.9,1.2,2.1,0.3,0,6.57,0.8,1.6,0.4,0,5.35,0.9,1.6,0.3,1,4.45,1.1,2,0.3,1,7.44,1.1,1.8,0.3,1,7.78,1.2,2.2,0.2,1,6.96,1.3,2.2,0.2,0,8.89,0.6,1.1,0.1,0,4.93,1,1.5,0.5,1,6.09,1.2,1.7,0.7,0,7.62,0.5,1.6,0.3,0,6.94,0.6,1.8,0.2,1,4.85,1.1,2.1,0.3,1,5.96,1.1,2.2,0.3,1,7.15,1.2,2.4,0.1,1,7.31,1.5,2.4,0.1,8.063314711,8.050089445,Known biases in the model output%2C and whether I forecasted the previous questions' single value accurately,BSc Mathematics and Meteorology ,Undergrad,2,23,M,
Meteorology,6,Meteorology6,0,6.3,0.5,1.5,0.4,1,5.85,0.8,1.4,0.4,1,6.25,1.1,1.5,0.4,1,7.2,0.9,1.5,0.3,1,8.76,1.3,1.8,0.4,1,8.02,1.3,1.8,0.4,1,5.77,0.6,1.8,0.3,1,5.98,0.9,1.4,0.3,1,6.49,1,1.5,0.4,1,7.54,1,1.5,0.4,1,7.89,1.3,1.9,0.4,1,6.91,1.4,1.9,0.5,0,9.4,0.5,0.5,0.5,1,7.04,1,1,1,1,8.21,1.3,1.3,1.3,0,5.93,0.6,1.8,0.3,0,4.56,0.6,1.8,0.2,1,8.13,1.1,2.3,0.2,1,4.69,1,2.3,0.2,1,7.73,1.3,2.5,0,1,7.78,1.3,2.4,0,7.46223565,7.684365782,Probable thickness and probable maximum and minimum thickness,MSc applied meteorology ,Master,0,23,Male,
Meteorology,7,Meteorology7,1,3.29,0.5,2.1,0.1,1,6.78,0.7,2,0.1,1,5.48,1.1,2.5,0.1,1,7.23,0.8,2.5,0.1,1,7.02,1.25,2.6,0,1,1.22,1.25,2.6,0,1,2.6,0.5,2.1,0.1,1,5.03,1.75,2.1,0.1,1,7.39,1.05,2.5,0.1,1,3.36,1.9,2.5,0.1,1,8.39,1.25,2.6,0,1,6.46,1.25,2.75,0,0,9.48,0.2,0.7,0,0,8.47,0.4,1.2,0,0,3.15,0.5,1.3,0,1,5.9,0.5,2.1,0.1,0,7.17,0.75,2.5,0.1,1,8.29,1,2.5,0.1,1,6.75,0.9,2.5,0.1,1,7.47,1.2,2.6,0,1,7.68,1.2,2.6,0,8.659217877,5.72450805,A diagram with a large number of forecasts makes me more confident about my decision,MSc Applied meteorology and climate with management ,Master,0,22,M,I'm from a maths background having studied Game Theory as one of my modules in my undergrad maths degree%2C so I found the cost/loss rules of the shipping game quite important. Near the end of the experiment I realised the relationship was something like%3A cost of using small ship %3D 1k * P(ice%3C1m)  %2B  9k * P(ice%3E1m). So my decisions were based on how I expected this value to compare with the 5k cost of the large ship. Thanks for fun experiment %26 good luck with research %3A)
Meteorology,8,Meteorology8,0,6.41,0.5,1.5,0.3,0,4.53,0.8,1.7,0.3,1,3.76,1.2,2,0.3,1,3.36,1,2,0.3,1,6.3,1.3,2.1,0.1,1,3.58,1.2,2,0.2,0,6.06,0.6,1.5,0.3,0,5.48,0.8,1.6,0.3,1,5.8,1.1,1.7,0.3,1,4.74,1.1,1.7,0.3,1,6.17,1.2,2,0.2,1,4.5,1.2,2,0.2,0,6.06,0.6,1,0.3,1,3.18,1.1,1.5,0.6,1,4.53,1.2,1.5,0.9,0,7.89,1.5,1.6,0.3,0,5.48,0.6,1.5,0.3,1,4.79,1.1,1.8,0.3,1,6.38,1.2,1.8,0.3,1,8.07,1.2,2.3,0.2,1,6.7,1.2,2.2,0.2,7.672253259,8.747763864,Complete degree of uncertainty%2C other variables that influence sea ice thickness%2C i.e. Temperature%2C what usually happens when we have had a similar set up in conditions before.,Meteorology%2C MMet,Master,3,21,Male,
Meteorology,9,Meteorology9,0,8.63,0.5,1.4,0.4,0,5.83,0.9,1.4,0.4,1,6.41,1.1,1.5,0.3,1,7.36,1,1.6,0.4,1,8.92,1.2,1.9,0.5,1,10,1.2,1.9,0.5,0,8.36,0.5,1.8,0.2,0,5.8,0.8,1.3,0.4,1,5.72,1.1,2.1,0.2,1,6.7,1,2.1,0.2,1,7.78,1.2,2.3,0,1,7.44,1.2,2.2,0,0,10,0.5,0.6,0.5,1,8.95,1.1,1.2,0.9,1,9.58,1.2,1.3,1.1,0,9.18,0.6,1.9,0.3,0,5.93,0.8,1.8,0.2,1,6.49,1.1,2.2,0.2,1,6.27,1.1,2.2,0.2,1,9.37,1.2,2.4,0,1,8.5,1.2,2.4,0,9.19939577,8.967551622,Perhaps run the forecast past 72 hours to see the predicted ice levels further ahead%2C as the boats take time to get across the strait.,MSc Applied Meteorology,Master,0,21,Male,
Meteorology,10,Meteorology10,0,8.31,0.5,1.5,0.4,0,4.42,0.8,1.4,0.4,1,3.1,1.1,1.5,0.4,1,4.03,0.9,1.5,0.3,1,6.7,1.2,1.8,0.4,1,9.93,1.25,1.8,0.5,0,6.43,0.5,1.5,0.3,0,3.42,0.6,1.4,0.3,1,4.34,1,1.3,0.3,1,5.32,1,1.5,0.3,1,6.06,1.25,1.75,0.4,1,7.52,1.2,1.3,0.4,0,9.13,0.5,0.75,0.25,1,3.52,1.1,1.4,0.7,1,7.44,1.25,1.5,1,0,7.31,0.5,1,0.25,1,5.48,0.9,1.25,0.25,1,4.48,1.1,1.4,0.5,1,8.84,1,1.5,0.4,1,6.46,1.2,1.75,0.3,1,7.17,1.2,1.8,0.6,5.009310987,7.048300537,Past results,Meteorology undergrad,Undergrad,1,20,Male,
Meteorology,11,Meteorology11,0,2.15,0.6,1.7,0.2,1,2.02,0.9,1.5,0.3,1,4.05,1.1,1.8,0.3,1,8.13,0.9,2.1,0.3,1,6.27,1.2,2,0.3,1,6.04,1.2,2,0.3,0,4.16,0.5,1.5,0.3,0,3.52,0.8,1.6,0.3,1,3.92,1,2,0.2,1,4.71,0.9,1.9,0.3,1,5.59,1.2,2.3,0.2,1,8.34,1.2,2.5,0.1,0,6.83,0.6,0.7,0.5,1,3.18,1.1,1.2,0.9,1,8.39,1.2,1.4,1.1,0,5.4,0.6,1.6,0.3,1,2.31,1,1.8,0.2,1,4.58,1.1,2.2,0.2,1,2.78,1.1,2.2,0.2,1,5.53,1.2,2.4,0.1,1,2.94,1.1,2.2,0.2,8.193668529,9.355992844,Mean values over medians would give a clearer view to an accurate estimated thickness. Also%2C a key to how the data has been obtained for the different lines on the line graph,MSc Applied Meteorology ,Master,0,30,Male,
Meteorology,12,Meteorology12,1,3.6,1,1.75,0.5,1,6.99,1.2,2,0.5,0,3.66,1,1,0.5,1,5.83,1,2,0.6,1,5.16,1,2.25,1,1,6.72,1.5,2,1,0,7.49,0.75,1,0.25,0,5.77,0.7,1,0.2,1,4,1,1.75,0.75,1,5.08,1.5,2.25,0.25,1,6.04,1.25,2.25,0.5,1,6.65,,2.25,0.5,0,9.77,0.7,0.75,0.5,0,9.13,0.75,1,0.5,0,5.85,1,1,0.5,0,9.66,0.7,0.8,0.5,0,3.6,1,1,0.2,0,7.86,0.7,1,0.4,1,5.64,1.5,2.25,0.25,0,5.9,0.75,1,0.5,0,1.59,0.75,1,0.2,7.311178248,6.091445428,Using an array of variables%2C rather than just one. There is a lot of uncertainty and error when using just one variable to make a forecast. Therefore using multiple parameters would boost the certainty of the forecast. ,MSc Applied Meteorology,Master,0,23,Female,
Meteorology,13,Meteorology13,0,8.89,0.6,1.25,0.4,0,7.39,0.8,1.25,0.5,0,2.78,1,1.75,0.75,1,8.6,1.6,1.5,1,1,9.29,1.25,1.75,0.5,1,8.36,1.5,2,1,0,10,0.6,1.5,0.4,1,2.31,1.2,1.5,0.5,0,5.16,0.8,1.25,0.5,0,5.83,1,1.2,0.5,1,8.23,1.25,2,0.75,1,4.87,1.5,2,0.25,0,10,0.6,0.8,0.6,1,8.1,1.1,1.2,1,1,9.71,1.25,1.4,1.2,0,7.92,0.75,1.5,0.25,0,4.29,0.8,1.25,0.4,1,7.41,1.2,1.75,0.5,0,5.88,1.2,1,0.25,1,8.39,1.2,2,0.5,1,6.25,1.75,2.25,0.5,8.752327747,8.801431127,The mean values of the forecasts,Environmental physics,Undergrad,0,20,Male,
Meteorology,14,Meteorology14,0,4.11,0.5,1.4,0.3,0,2.92,0.8,1.7,0.2,1,3.68,1.1,2.3,0.2,1,4.29,1.1,2.1,0.2,1,5.11,1.2,2.3,0.1,1,5.24,1.5,2.4,0.1,0,5.19,0.5,1.8,0.2,0,2.2,0.8,1.8,0.3,1,3.21,1,2.2,0.2,1,1.94,1.1,2,0.3,1,7.2,1.3,2.4,0.1,1,5.59,1.2,2.4,0,0,2.02,0.5,1,0.3,1,2.92,1,1.5,0.5,1,2.92,1.2,2,0.8,0,6.01,0.6,1.8,0.3,0,3.84,0.8,1.8,0.2,1,4.42,1.1,2.2,0.3,1,2.02,1,2.2,0.2,1,5.24,1.2,2.4,0.1,1,5.22,1.5,2.4,0,8.987915408,7.994100295,,Meteorology and climate,,2,20,Female,
Meteorology,15,Meteorology15,0,7.41,0.5,1.1,0.2,1,4.05,1,1.2,0.6,1,4.29,1.1,1.3,0.5,1,4.08,1.1,1.4,0.4,1,7.52,1.2,1.7,0.5,1,7.23,1.3,1.8,0.5,0,3.81,0.6,1.4,0.2,0,5.22,0.8,1.1,0.4,1,7.25,1.1,1.2,1,1,6.22,1.1,1.5,0.4,1,8.1,1.3,1.5,1.1,1,5.11,2.1,2.6,0.1,0,8.36,0.6,0.6,0.5,1,8.26,1.1,1.2,1,1,8.42,1.2,1.3,1.1,0,6.49,0.5,0.8,0.4,0,4.61,0.7,1.1,0.2,1,6.33,1.1,1.3,0.5,1,3.52,1.1,1.7,0.4,1,8.15,1.2,1.4,1.1,1,6.17,1.4,2.1,0.5,7.411545624,7.745974955,Mean %0AAccuracy of forecast %0ALikelihood of ice thickness condition (eg from past data like time of year),Undergraduate Psychology and Neuroscience,Undergrad,1,19,Female,
Meteorology,16,Meteorology16,0,6.43,0.9,1.1,0.5,0,5.43,1,1.2,0.4,1,5.08,0.9,1,0.5,1,5.48,1,1.4,0.8,1,5.96,1.1,1.4,0.6,1,5.56,1.1,1.5,0.6,0,6.2,0.8,1.1,0.4,1,5.69,1,1.5,0.5,1,4.93,1,1.5,0.4,1,5.9,1.1,1.5,0.4,1,5.59,1.2,1.6,0.4,1,6.27,1.2,2,0.3,0,6.65,0.9,1,0.5,0,6.3,0.9,1.1,0.5,0,5.53,0.9,1.1,0.6,0,5.75,1,1.5,0.3,0,5.38,0.9,1.4,0.41,1,5.35,1.1,1.5,0.4,1,5.3,1.1,1.6,0.4,0,4.4,1.1,1.5,0.4,1,5.93,1.1,1.5,0.4,8.696461825,9.570661896,Historical information from both companies and weather%2C%0Aice thickness statistics%2C ,PhD in Atmosphere%2Cocean and climate,PhD,3.5,32,M,Good experiment for decision maker. 
Meteorology,17,Meteorology17,0,3.44,0.5,1.5,0.4,1,1.72,0.8,1.5,0.4,1,7.44,1.1,1.5,0.4,1,2.81,0.9,1.6,0.3,1,7.12,1.2,1.8,0.5,1,9.29,1.2,1.8,0.5,0,3.02,0.6,1.5,0.3,1,3.52,0.9,1.6,0.3,1,7.04,1.1,1.6,0.3,1,6.09,1,2,0.3,1,7.73,1.2,2,0.1,1,7.47,1.3,2.2,0.1,0,8.71,0.6,0.8,0.5,1,1.46,1.1,1.2,0.9,1,9.87,1.2,1.5,1,0,5.69,0.6,1.7,0.3,0,8.05,0.6,1.8,0.2,1,7.44,1.1,2,0.3,1,0.72,1,2.2,0.3,1,6.99,1.2,2.4,0.1,1,7.47,1.1,2.4,0,9.531722054,9.439528024,Error bars,PhD Meteorology,PhD,3,27,F,
Meteorology,18,Meteorology18,0,9.85,0.5,1.5,0.2,0,9.63,0.9,1.7,0.2,1,8.74,1.05,2.3,0.3,1,9.66,1.5,2.2,0.3,1,9.53,1.3,2.4,0,1,9.45,1.5,2.4,0.1,1,9.26,1.5,1.8,0.2,1,7.09,1.5,1.8,0.2,0,6.22,1.05,1.5,0.25,1,4.34,1.5,2.2,0.2,1,9.58,1.3,2.4,0,1,9.05,1.5,2.4,0,0,10,0.55,0.55,0.55,0,9.16,1,1.05,1,1,8.47,1.3,1.3,1.3,0,9.66,0.6,1.7,0.2,0,6.94,1,1.5,0.2,1,6.2,1,2.2,0.2,1,6.8,1.5,2.3,0.2,1,7.73,1.2,2.4,0,1,7.7,1.2,2.4,0,9.553072626,9.892665474,Average ice thickness for that time of year. Predicted air temperature. ,PhD ,PhD,0,23,Female,
Meteorology,19,Meteorology19,0,2.62,0.5,1.5,0.25,1,4.37,1,1.5,0.5,1,4.66,1,1.5,0.5,1,2.76,1.5,1.75,0.5,1,10,1.25,2,0.5,1,9.45,1.5,2,0.5,0,5.06,0.5,1.25,0.25,0,0.35,0.75,1.5,0.25,1,6.78,1,1.75,0.25,1,4.56,1,1.5,0.5,1,8.23,1.25,2,0.75,1,6.83,1.5,2,0.75,0,4.4,0.5,1,0.25,1,4.93,1,1.5,0.5,1,6.06,1.25,1.75,0.75,0,1.96,0.5,1.5,0.25,0,6.83,0.75,1,0.25,1,6.83,1,1.75,0.33,1,4.79,1,1.5,0.5,1,6.8,1.25,2,0.25,1,6.54,1.25,2,0.5,8.472998138,7.352415027, How well the forecasts have historically performed%2C or if there are any biases or scenario based errors. For ensemble and consensus forecasts%2C are there any forecasts that perform better some measure of past performance.  All of these would better inform my decision when combined with these forecasts. ,Meteorology PhD ,PhD,0,22,Male ,It would be easier to determine how thick the ice is if there were horizontal grid lines because the ticks are on the left while the forecast time of interest is on the right. 
Meteorology,20,Meteorology20,0,6.78,0.8,1.5,0.3,1,8.1,1,1.5,0.4,1,6.86,1.1,1.5,0.3,1,8.84,1.3,1.8,0.4,1,9.13,1.3,2,0.3,1,7.97,1.3,1.9,0.4,0,6.06,0.8,1.5,0.2,1,8.71,1.3,1.6,0.2,1,6.62,1,1.5,0.4,1,6.94,1.2,1.8,0.3,1,8.92,1.3,1.8,0.4,1,6.75,1.5,2.1,0.4,0,7.86,0.6,0.8,0.3,0,6.22,1,1.1,0.5,1,8.1,1.3,1.3,0.5,0,7.7,0.7,1.5,0.2,0,6.83,0.8,1.5,0.2,1,3.79,1.2,1.8,0.3,1,3.21,1.3,2,0.2,1,6.86,1.3,2,0.4,1,8.26,1.3,2.1,0.1,9.925512104,9.856887299,The precision of the forecasts for the previous hours.,PhD,PhD,1,27,Female,
Meteorology,21,Meteorology21,1,5.9,0.7,1.8,0.2,1,6.09,0.8,1.8,0.2,0,4.24,1,2.3,0.3,1,5.96,1.2,2.3,0.2,1,8.13,1.2,2.4,0.1,1,8.34,1.3,2.3,0.1,0,4.26,0.6,1.8,0.3,1,5.61,0.8,1.8,0.2,1,8.47,1.1,2.3,0.2,1,6.22,1.2,2.2,0.2,1,8.6,1.2,2.4,0.1,1,8.44,1.5,2.4,0.1,0,4.69,0.5,0.5,0.5,1,4.87,1.1,1.1,1.1,1,6.88,1.2,1.2,1.2,1,4.56,0.8,1.8,0.2,0,7.81,0.6,1.8,0.3,1,8.6,1.1,2.2,0.2,1,7.97,1.1,2.2,0.2,1,7.02,1.3,2.4,0.2,1,9.26,1.5,2.4,0.1,9.962756052,9.552772809,Model reliability.,PHD in Mathematics of Planet Earth,PhD,1,27,Male,I think it would be better to have an higher cost/loss ratio%2C because in that case making a decision would be more difficult since you need an higher probability level to take the decision to use large ship.
Meteorology,22,Meteorology22,0,4.45,0.5,1.8,0.2,0,4.42,0.8,1.8,0.2,1,3.58,1.1,2.2,0.2,1,6.33,1,2,0.2,1,6.17,1.2,2.3,0,1,5.48,1.2,2.3,0,0,4.82,0.5,2,0.2,1,3.79,1,1.8,0.2,1,5.19,1.1,2.2,0.2,1,6.09,1.2,2.3,0.2,1,4.85,1.2,2.3,0,1,4.87,1.3,2.3,0,0,7.15,0.5,0.8,0.3,1,5.27,1.1,1.2,0.8,1,7.86,1.2,1.2,1,0,5.45,0.5,1.8,0.2,0,5.14,0.7,1.8,0.2,1,7.17,1,2.3,0.2,1,4.03,1.1,2.2,0.2,1,6.27,1.2,2.6,0,1,4.05,1.5,2.3,0,7.653631285,5.974955277,The level of confidence in forecast by forecaster - giving me just uncertainty levels really makes decision making hard%2C but on the other hand showing just one line on graph can lead to wrong decision. Perhaps some other variable might be useful in this case as well. Also updated forecasts every day would be good so we can change decision a day before if necessary to avoid losses. (One day ahead forecasts are better) - I think that considering the uncertainty there should be an option to give final decision later on (but that would depend on company),PhD meteorology,PhD,2,26,Female,I think we need more studies like this.
Psychology1,1,Psychology1,1,5.03,0.9,1,0.3,1,5.98,1.3,1.8,0.3,1,7.81,1.5,2.3,0.2,1,5.14,1.5,2,0.3,1,6.49,1.5,2.2,0.5,1,6.43,1.5,2.5,0.3,1,5,1.3,2,0.3,0,3.81,0.9,1.2,0.2,0,6.65,1,1,0,1,5.4,1.3,2.2,0.2,1,7.04,1.2,2.4,0,1,7.68,0.75,2.6,0,0,9.08,0.5,0.9,0.3,0,6.96,0.99,1,0.5,1,7.07,1.2,1.5,0.5,0,6.06,0.9,1,0.3,1,4.98,1.1,2,0.2,1,5.08,1.2,2.2,0.2,1,6.96,1.2,2.3,0.2,1,4.9,1.3,2.5,0,1,7.23,1.5,2.5,0,7.084592145,7.168141593,,MSc clinical aspects of psychology ,Master,4,26,Female,
Psychology,2,Psychology2,0,4,0.5,0.6,0.4,0,6.78,1,1,0.6,1,2.04,1.1,1.2,1,0,4.63,0.9,1,0.7,1,5.35,1.3,1.4,1.1,1,4.74,1.3,1.5,1.1,0,2.12,0.5,0.9,0.3,0,1.67,0.8,1,0.7,0,7.78,1,1.1,0.8,1,2.57,1.3,1.5,1.1,1,#VALUE!,1.2,1.3,1.1,1,6.91,1.3,1.7,1.1,0,7.84,0.6,0.6,0.5,0,8.97,1.2,1.3,1.1,1,3.58,1.2,1.3,1.1,0,7.54,0.6,0.6,0.5,0,1.51,0.7,0.9,0.5,1,4.26,1.1,1.5,0.8,0,4.4,0.9,1,0.7,1,6.27,1.3,1.4,1.1,1,5.96,1.3,1.5,1.1,6.510574018,6.887905605,Means%2C standard deviation%2C the forecasts from previous years,MSc Research Methods in Psychology,Master,0,23,Female,
Psychology,3,Psychology3,1,2.76,0.5,1.5,0.4,1,7.17,1,1.5,0.5,1,9,1.1,1.5,0.4,1,8.02,1,1.5,0.5,1,8.6,1.2,1.8,0.5,1,9.66,1.4,1.7,0.5,0,9.93,0.5,1.7,0.2,1,7.78,0.9,1.6,0.4,1,7.39,1.1,1.5,0.5,1,6.38,1,1.5,0.4,1,8.76,1.2,1,0.5,1,9.61,1.1,2,0.4,0,9.63,0.5,0.5,0.5,1,10,1,1.1,1,1,6.72,1.2,1.2,1.2,0,9.05,0.6,1.7,0.2,1,7.99,0.7,1.7,0.2,1,7.17,1.1,2.2,0.2,1,6.51,1.2,2.2,0.2,1,6.67,1.2,2.4,0.1,1,9.77,1.1,2.4,0,7.29981378,9.15921288,,Psychology and Neuroscience undergraduate ,Undergrad,1,20,Female,
Psychology,4,Psychology4,0,6.72,0.8,1.4,0.4,0,7.09,0.8,1.7,0.3,0,4.16,1,1.7,0.3,0,3.1,0.8,1.7,0.3,1,3.76,1.3,2,0.5,1,7.94,1.3,2.3,0.3,0,6.43,0.7,1.5,0.3,0,3.47,1.2,1.5,0.5,1,6.14,1.2,2.2,0.3,1,4.32,1.2,2,0.3,1,4.48,1.3,2.4,0,1,6.33,1.6,2.2,0.25,0,8.95,0.5,0.7,0.3,1,2.97,1.1,2,0.5,1,3.44,1.3,2.3,0.5,0,5.93,0.6,2,0.2,1,7.2,1.2,1.8,0.2,1,2.54,1.1,2.3,0.2,1,3.47,1.2,2.3,0.2,1,2.62,1.2,2.4,0,1,3.26,1.5,2.4,0,6.759776536,7.17352415,What is typically expected this time of year%2C companies budget for drops and the expected return for each delivery%2C the future forecast for when the ship returns,Psychology ,,2,21,Male,
Psychology,5,Psychology5,0,1.72,0.7,1.5,0.4,1,4.21,1.4,1.6,0.3,1,9.66,1.5,2.3,0.4,1,9.34,2,1.5,0.2,1,9.42,2,2.4,0.4,1,2.41,1.8,2.4,0,0,9.77,1.5,1.5,0.3,1,3.18,1.8,1.5,0.2,1,8.02,1.5,2,0.3,1,9.79,2,1.5,0.5,1,9.4,2,2,0.5,1,9.87,2,1.8,0.5,0,8.15,0.5,0.5,0.5,1,10,1.1,1.1,1.1,1,9.9,1.1,1.2,0.5,0,9.71,0.8,0.7,0.3,1,7.25,1.5,1.5,0.5,1,8.92,1.1,2,0.5,1,8.55,1.5,2.4,0.4,1,8.58,1.2,1.5,0.5,1,7.41,1.1,1.5,0,9.888268156,9.928443649,wind speed and temperature because that may push the ice towards the ship blocking it in. And temperature levels for the formation of ice. ,Clinical Aspects of Psychology MSC,Master,0,22,Female ,
Psychology,6,Psychology6,0,7.73,0.4,0.5,0.1,1,9.63,1.5,1.8,1,1,7.76,1.3,1.5,1.1,1,7.47,2,2.2,1,0,5.96,1.4,1.7,1.2,1,5.38,2,2.5,2.2,0,5.24,0.8,1,0.3,0,8.36,1.4,1.5,0.9,1,4.63,1.2,1.4,0.5,1,9.29,1.7,2.2,1.1,1,8.74,1.4,2,1,1,6.43,1.5,2,0.9,0,3.44,0.8,0.9,0.1,0,9.42,1.2,1.3,1,1,7.54,1.5,1.8,1.2,0,8.36,0.4,0.9,0.3,1,9.03,1.7,2,1.8,1,3.15,1.3,1.5,0.9,0,8.74,1.4,2,0.3,1,4.53,1.4,1.7,1.2,0,7.68,1.5,1.7,0.7,7.280966767,8.053097345,Equation line,Master,Master,0,25,Female,Thanks
Psychology,7,Psychology7,0,6.01,0.5,1.5,0.2,0,6.41,0.6,1.5,0.2,0,6.59,0.8,1.5,0.3,0,5.38,0.7,1.4,0.2,1,4.18,1.2,1.9,0.5,1,6.86,1.3,2,0.5,0,2.23,0.4,1.4,0.2,0,5.85,0.7,1.3,0.3,1,4.42,1,1.5,0.3,1,6.75,1.2,2,0.2,1,6.43,1.3,1.9,0.4,1,7.6,1.5,2,0.3,0,7.47,0.5,0.8,0.4,1,8.6,1.1,1.5,0.5,1,5.83,1.2,1.5,0.7,0,7.28,0.5,1.5,0.2,1,6.46,1.5,2,0.5,1,5.59,1,2,0.2,1,6.59,1,2,0.2,1,3.18,1.3,2.3,0.2,1,6.38,1,2.5,0.2,7.658610272,5.05899705,Likelihood of uncertainty occurring or evidence to support how accurate the forecast is,BSc Environmental Physics,Undergrad,1,19,Male,
Psychology,8,Psychology8,0,3.44,0.5,1.8,0.3,1,7.33,1.5,1.7,0.3,1,8.5,1,1.5,0.4,1,9.77,0.9,1.5,0.3,1,8.07,1.3,2.4,0.1,1,7.57,1.9,2,0.6,0,9.21,0.6,0.8,0.5,1,9.93,0.9,1.4,0.3,1,7.2,1.1,1.5,0.3,1,7.49,1,1.6,0.3,1,8.15,1.3,1.8,0.5,1,9.82,1.2,1.9,0.5,0,8.02,0.6,0.7,0.5,1,9.87,1.1,1,0.8,1,6.86,1.3,1.5,0.8,1,6.88,0.5,1.9,0.3,1,5.35,0.7,1.7,0.3,1,7.09,1,2.3,0.2,1,6.49,2,2.5,0.3,1,6.49,1.2,2.5,0.2,1,9.77,1.2,2.4,0.1,7.764350453,9.82300885,The median helped me predict what the forecast might be.,BSc Psychology undergraduate ,Undergrad,1,19,Female,
Psychology,9,Psychology9,0,6.83,1,2,0.5,0,7.17,1.5,1.5,0.25,0,8.47,1,1.5,0.5,0,4.4,2,1.5,0.5,1,8.74,1.25,2,0.5,0,4.58,2,2.5,0.5,1,8.97,2,2.5,0.5,0,4.5,1.5,2.5,0.5,1,7.62,2.5,2.25,0.5,0,5.72,1.5,1.5,1,1,9.77,2.25,2,0.5,0,8.71,2,2.5,0.5,0,5.03,0.5,0.75,0.5,0,9.87,1,1.25,1,0,6.41,1.25,1.25,1,0,8.07,0.5,2.5,0.25,1,7.2,2.25,2.25,0.25,0,7.23,1,1.75,0.25,1,7.73,2,2.5,0.25,1,5.51,1.25,1.25,0.5,1,8.39,1,2.5,0,5.483383686,8.274336283,Specifics ,Psychology with neuroscience ,,2,21,Female ,
Psychology,10,Psychology10,1,4.85,1.5,1.5,0.5,0,8.05,1,1,0.5,0,6.8,1,1.5,0.5,1,6.38,1.5,1.5,0.5,1,3.18,1.5,2,1,1,4.56,2.5,2.5,1,1,5.96,2,2.5,1.5,0,6.46,1.5,1,1,0,5.3,1.5,1.5,0.5,1,7.17,1.5,2,1,1,4.03,1.5,2.5,1,1,5.59,2,2.5,1,0,7.44,0.5,0.5,0,1,8.97,1.5,1.5,1,0,8.1,1,1.5,0.5,1,5.32,2,2.5,1,0,7.52,1,1.5,0.5,1,5.9,1.5,1.5,0.5,0,7.78,1,1.5,0.5,1,5.96,2,2.5,1.5,1,4.5,3,3,2,9.954682779,9.970501475,Chance of loss so you can decide on if the risk is worth taking,Psychology with professional placement,,3,24,Male,
Psychology,11,Psychology11,0,8.58,0.5,0.7,0.5,1,8.31,1.5,1.7,1.3,0,6.83,1,1.1,0.9,0,6.8,1,1.2,1,1,6.06,1.3,1.8,1,1,9.05,1.2,1.5,1.2,0,6.7,0.4,0.6,0.4,0,7.47,1,1.1,0.8,0,5.24,1.2,1.1,0.9,1,6.99,1.3,1.3,1,1,8.89,1.3,1.3,1.1,1,4.4,1.3,1.4,1.1,0,5.08,0.5,0.7,0.5,0,8.21,1,1.2,0.9,1,4.56,1.2,1.2,0.7,0,8.63,0.6,0.7,0.5,1,2.94,1.7,2.2,1.3,0,5.59,1,1.4,0.8,1,2.49,2,2.3,1.5,1,5.19,1.2,1.2,1,1,4.82,2.5,2.6,1.6,8.808193669,9.194991055,Information from other weather factors such as chance of precipitation and  lowest and highest temperatures.,Language Sciences and Psychology BSc,Undergrad,1,19,Female ,
Psychology,12,Psychology12,0,6.99,0.5,1.5,0.2,1,7.44,1.5,2.2,0.2,1,6.83,1.1,2.2,0.2,1,8.92,1.5,2.3,0.2,1,4.63,1.2,2.6,0.1,1,9.4,2,2.8,0.1,0,6.83,0.4,1.5,0.1,1,4.66,2,2.3,0.2,1,8.5,1.1,2.2,0.3,1,7.09,1.8,2.5,0.2,1,9.37,1.2,2.6,1.1,1,7.28,2.4,2.4,0,0,7.78,0.7,0.8,0.4,1,9.08,1.1,1.1,1,1,7.73,1.2,1.2,1,0,7.94,0.5,0.5,0.5,1,8.89,1.3,2,0.2,1,6.22,1.1,2.2,0.1,1,9.69,1,2.2,0.2,1,6.14,1.2,2.5,0,1,8.21,1.2,2.4,0,8.34264432,7.245080501,Value of the shipment. ,BSc Psychology ,Undergrad,2,21,Female,
Psychology,13,Psychology13,0,6.22,0.7,0.8,0.4,0,3.79,0.8,1.2,0.4,1,5.24,1.1,1.9,0.4,0,3.95,0.9,1.4,0.5,1,7.52,1.2,2.1,0.5,1,6.27,1.4,2.1,0.5,0,5.9,0.5,1,0.3,1,4.29,1,1.5,0.4,0,4.82,1.1,2,0.3,1,3.89,1.2,2,0.5,1,4.48,1.2,2,0.5,1,2.78,1.5,2.1,0.4,0,5.69,0.5,0.8,0.5,0,7.47,1,1.1,0.9,1,5.96,1.2,1.5,0.5,0,6.75,0.6,0.8,0.3,1,5.56,1.2,2.3,0.3,1,9.13,1.1,1.7,0.3,1,5.48,1.2,2,0.2,1,5.06,1.3,1.5,0.3,1,7.99,1.4,2.5,0,6.223564955,7.787610619,How accurate it was in the past%2C temperature (how thick the ice would be)%2C experience in the past.,Psychology%2C undergraduate,Undergrad,0,20,Female,
Psychology,14,Psychology14,0,8.07,0.8,2.3,0.2,0,9.32,1.3,2.3,0.2,0,6.3,1.1,2,0.3,1,8.68,1.1,2.1,0.3,1,6.25,1.3,2,0.5,1,6.54,1,2.8,0.2,0,7.09,0.8,2.5,0.2,1,7.76,1,2.5,0.3,0,6.38,1,1.5,0.5,1,8.23,2,2.5,0.5,1,9.24,1.2,2.5,0.3,1,7.94,1.5,2.7,0.2,0,7.86,0.75,1,0.5,0,5.8,1,1.3,0.5,1,9.37,1.2,1.3,0.5,0,6.65,0.8,2.3,0.2,1,8.47,1.6,2.3,0.2,0,6.72,1,1.5,0.3,1,7.57,1.5,2.5,0.1,1,5.67,1.3,2.6,0.2,1,7.2,1.5,2.5,0.2,7.401812689,7.212389381,How often in percentage boats are sent back due to ice thickness%0A,Psychology with language science ,,0,18,Female,
Psychology,15,Psychology15,0,8.63,0.5,1.5,0.3,0,6.04,0.9,1.8,0.3,1,7.02,1.1,2.3,0.3,1,7.17,1.5,2.3,0.3,1,6.88,1.9,2,0.5,1,7.07,1.8,2.4,0.2,0,3.95,0.5,1.4,0.3,0,6.09,1,1,0.8,1,6.04,1.1,2.1,0.3,0,4.18,1,1.5,0.4,1,5.59,1.3,2.3,0,1,7.62,1.5,1.8,0.5,0,7.09,0.5,0.8,0.5,0,5.8,1,1.1,0.9,1,5.22,1.3,1.3,1,0,9.05,0.5,1.7,0.3,1,5.06,1.4,1.6,0.3,1,6.91,1.1,2.2,0.3,1,5.08,2.2,2.4,0.3,1,7.57,1.3,2.3,0.1,1,7.89,1.4,2.5,0.2,7.895716946,7.763864043,Likelihood of the risk happening,Psychology BSc,Undergrad,0,18,Female,
Psychology,16,Psychology16,1,9.61,1.5,1.8,0.3,1,8.47,1.2,2,0.3,1,8.5,1.1,2.3,0.3,1,8.76,1.2,2.3,0.2,1,8.44,1.3,2.5,0,1,3.15,1.5,2.5,0.1,0,7.41,0.6,1.8,0.3,1,7.68,1.3,2,0.4,1,7.36,1.2,2.3,0.3,1,8.29,1.2,2.2,0.3,1,2.54,1.3,2.4,0.2,1,1.06,1.5,2.5,0.2,0,3.23,0.6,0.9,0.5,0,4.37,1,1.1,1,1,2.23,1.3,1.5,1,1,9.98,1.1,2,0.3,1,6.01,1.3,2.4,0.2,1,8.87,1.2,2,0.3,1,6.25,1.5,2.2,0.4,1,3.42,1.3,2.5,0.1,1,3.31,1.3,2.4,0,7.951582868,9.230769231,How accurate past reports have been - if unaccurate it might sway you to take less risks. ,BSc Psychology (Undergraduate) second year,Undergrad,1,19,Female,
Psychology,17,Psychology17,0,6.46,0.8,0.8,0.5,0,8.6,0.9,1.3,0.6,1,7.09,1.2,1.2,0.8,1,6.51,1.3,1.5,0.8,1,8.31,1.25,1.8,0.7,1,9.63,1.4,1.7,0.9,0,6.35,0.5,1,0.4,0,3.6,0.9,1.4,0.6,0,8.76,1.2,1.2,0.7,0,7.36,1,1.5,0.5,1,10,1.25,1.3,1.25,1,7.04,1.3,1.3,1,0,9.61,0.5,0.5,0.4,0,9.32,1,1.1,1,1,8.07,1.25,1.3,1.2,0,9.34,0.6,0.8,0.3,0,3.95,0.5,0.8,0.3,0,7.23,1.1,1.5,0.8,1,4.48,1.3,1.4,0.7,1,3.29,1.25,1.25,0.7,1,8.71,1.3,1.5,0.6,9.459962756,8.926654741,Always having an average to base off of%2C and having more accurate confidence limits/intervals - 25%25 to 75%25 wasn't very specific so it was more of a guess tahan an educated answer. ,Psychology with Professional Placement ,,0,18,Female ,
Psychology,18,Psychology18,0,7.47,1,1,0.5,0,8.58,1,1.5,1,0,7.36,1,1.5,0.5,1,6.99,1,2,0.5,1,8.18,1,2,0.5,1,7.39,1.5,2.5,0.5,0,6.75,1,1.5,0.5,0,6.62,1,1.5,0.5,0,7.15,1,1.5,0.5,1,6.51,2,2,0.5,1,6.33,3,3,1,1,7.49,1.5,2.5,0.5,0,8.6,1,1,0.5,0,7.78,1,1,0.5,1,7.78,1,1.5,0.5,0,7.49,1,1.5,0.5,1,6.46,1,2,0.5,1,6.96,1,2,0.5,1,7.68,1,2,0.5,1,7.6,1,2.5,0.5,1,6.41,1.5,2.5,0.5,6.368715084,7.012522361,Means ,Psychology ,,0,18,Female ,
Psychology,19,Psychology19,0,7.25,0.5,0.5,0.5,0,3.79,0.9,1.5,0.3,1,5.38,1.1,1.5,0.3,0,3.34,0.9,1.5,0.4,1,7.6,1.25,2,0.5,1,9.05,1.25,2,0.5,0,8.66,0.5,1.5,0.3,0,9.74,0.9,1.5,0.3,1,8.26,1.1,1.5,0.25,0,3.34,0.9,1.5,0.3,1,6.72,1.25,1.9,0.3,1,4.34,1.25,2,0.5,0,3.81,0.5,0.5,0.5,1,3.5,1.1,1.1,1.1,1,7.89,1.25,1.25,1.25,0,2.15,0.5,2,0.25,0,7.84,0.5,1.9,0.25,1,8.23,1.1,2.25,0.25,0,8.63,0.9,2.4,0.25,1,0.8,1.25,2.3,0.2,1,6.72,1.1,2.5,0.2,6.238361266,8.139534884,Statistical tests ,Art and Psychology,,0,20,Female,
Psychology,20,Psychology20,0,7.15,0.7,1,0.4,1,6.62,1,1.5,0.5,1,7.89,1,1.7,0.3,1,5.06,0.8,1.3,0.3,1,8.39,1.3,2,0.5,1,7.7,1.5,2,0.7,0,5.38,0.8,1,0.3,1,6.91,1,1.5,0.5,1,4.26,1.1,1.5,0.5,1,8.13,1.2,1.6,0.4,1,8.76,1.5,2,0.8,1,6.46,1.6,2,0.5,0,9.9,0.6,0.7,0.5,0,8.87,0.9,1,0.8,1,5,1.1,1.3,1,0,4.95,0.6,1,0.2,1,8.81,1,1.5,0.5,1,8.89,1,1.6,0.2,1,7.02,1,1.6,0.3,1,8.63,1.4,2,0.1,1,8.15,1.7,2.1,0.4,7.932960894,8.067978533,The mean of the models and how likely the forecast is going to be correct ,Psychology undergraduate ,Undergrad,0,18,Female,
Psychology,21,Psychology21,1,3.58,0.9,1.5,0.5,1,3.05,0.9,1.5,0.3,1,6.22,1.1,1.5,0.4,1,8.71,1,1.5,0.4,1,9.58,1.2,2,0.5,1,9.63,1.3,2,0.5,1,8.44,1,1.8,0.3,1,9.9,1.1,1.9,0.2,1,5.11,1.1,2.2,0.2,1,9.9,1.3,2.3,0.2,1,8.55,1.2,2.4,0,1,8.71,1.3,2.5,0,0,9.79,0.6,0.6,0.6,1,4.5,1.1,1.1,1.1,1,6.22,1.2,1.2,1.2,1,2.41,1,1.9,0.3,1,9.66,2,2.4,0.3,1,5.98,1.1,2.2,0.2,1,4.53,1,2.3,0.3,1,8.89,1.3,2.4,0,1,6.06,1.2,2.4,0,8.882681564,8.497316637,Advice from expert in the area based on the degree of uncertainty ,BSc Psychology with Professional Placement year 4%2C,Undergrad,3,22,Female,
Psychology,22,Psychology22,0,6.72,0.5,1.9,0.3,1,8.55,0.9,1.6,0.3,1,6.62,1,2.3,0.3,1,6.14,0.9,2.2,0.3,1,9.87,1.2,2.4,0,1,9.98,1.4,2.4,0,0,6.41,0.5,1.7,0.2,1,4.77,1.2,1.8,0.3,1,9.29,1.1,2.3,0.2,1,7.6,1.25,2.3,0.3,1,9.42,1.2,2.4,0,1,8.71,1.5,2.7,0,0,9.79,0.5,0.75,0.5,1,2.44,1.1,1.2,0.5,1,9.34,1.1,1.1,1.1,0,5.53,0.5,1.9,0.2,1,7.52,1.2,2.4,0.3,1,8.13,1.1,2.2,0.2,1,6.99,1.25,2.25,0.3,1,3.97,1.1,1.2,0.1,1,8.05,1.1,2.5,0,7.709497207,5.384615385,Previous data from the last few days.,Psychology,,1,19,Female,
Typography ,1,Typography 1,0,8.47,0.5,1.4,0.3,0,7.41,0.7,1.6,0.3,0,1.51,1.1,2.2,0.3,1,1.72,0.9,1.8,0.4,1,6.25,1.2,1.9,0.45,1,8.39,1.8,2.3,0.1,0,6.96,0.6,1.5,0.5,0,2.7,0.8,1.7,0.4,1,1.46,1.05,1.9,0.3,0,1.09,0.9,1.7,0.3,1,8.44,1.2,1.9,0.4,1,5.98,1.5,2.2,0.4,0,9.9,0.55,0.8,0.5,1,3.13,1.1,1.1,0.5,1,6.12,1.3,1.3,1.1,0,8.68,0.6,1.8,0.25,0,7.92,0.6,1.8,0.2,1,5.4,1.05,2.2,0.2,1,0.83,1.1,2.2,0.25,1,7.54,1.25,2.3,0.2,1,6.59,1.3,2.3,0.2,8.564954683,7.96460177,The median line and perhaps the previous 72 hour forecast and how the prediction differed from the actual result,Undergraduate Graphic Communication,Undergrad,1,19,Female,
Typography ,2,Typography 2,0,5.72,0.9,1.4,0.3,0,8.84,0.9,1.8,0.2,0,6.01,1,2.1,0.2,1,4.9,0.9,1.5,0.3,1,7.31,1.2,2.3,0,1,3.68,1.2,2.5,0,0,8.71,0.5,2,0.2,0,4.77,1,1.9,0.1,1,6.17,1.2,2.2,0.1,1,6.54,1,2.1,0.1,1,6.57,1.25,2.5,0,1,2.52,2,2,0.4,0,6.99,0.5,0.5,0.5,0,2.52,1.05,1.1,0.5,1,8.36,1.2,1.2,1.2,0,5.48,1,1.9,0.1,0,6.67,0.8,2.3,0.1,0,4.63,1,2.3,0.2,0,5.53,0.9,2.3,0.2,1,5.51,1.2,2.5,0,1,5.03,1.3,2,0,9.19939577,6.519174041,Previous days forecasts and another persons opinion would make me more confident. ,Typography and graphic communication (BA),Undergrad,1,19,Male,
Typography ,3,Typography 3,0,6.17,0.5,1.75,0.25,1,5.3,1,1.75,0.25,1,6.91,1.1,2.25,0.25,1,5.61,1,2.2,0.25,1,7.07,1.25,2.3,0,1,5.08,1.2,2.2,0,0,5.3,0.5,1.8,0.25,1,5.85,1,1.8,0.25,1,5.77,1.1,2,0.25,1,6.04,1,2.1,0.25,1,7.49,1.25,1.3,0.5,1,6.72,1.25,2.2,0,0,7.07,0.5,0.5,0.5,1,7.6,1.1,1.1,1.1,1,7.07,1.25,1.25,1.25,0,4.08,0.6,1.6,0.25,0,4.93,0.6,1.6,0.25,1,6.17,1.1,2,0.25,1,5.9,1.1,2.25,0.25,1,8.1,1.3,2.3,0.25,1,6.33,1.25,2.3,0,8.081936685,8.282647585,Previous forecasts%2C weather charts%2C other weather information e.g. Rain%2C snow%2C wind etc. Anything that may change predictions of ice level.,Graphic Communication ,,1,19,Female,
Typography ,4,Typography 4,0,8.15,0.5,1.75,0.25,0,7.68,0.8,1.75,0.2,1,9.32,1.1,2.2,0.25,1,1.75,1.2,2.25,0.25,1,9.34,1.25,2.4,0,1,6.72,1.25,2.4,0,0,1.17,0.5,1.75,0.25,1,5,1.2,1.75,0.25,1,1.43,1.05,2.25,0.25,1,5.67,1.25,2.25,0.25,1,7.54,1.2,2.3,0.3,1,9.48,2.2,2,0.5,0,9.18,0.6,1,0,1,8.02,1.1,1.5,0.5,1,9.69,1.2,2,0,1,2.02,1.8,1.8,0.25,0,5.75,0.75,1.75,0.25,1,8.81,1.05,2.25,0.25,0,0.67,0.9,2.25,0.25,1,8.97,1.2,2.4,0,1,8.23,1.2,2.4,0,8.081936685,9.427549195,N/A,Graphic Communications ,,1,19,Male ,
Typography ,5,Typography 5,0,7.84,0.5,1.9,0.3,0,4.16,0.9,1.9,0.2,1,3.15,1.1,2.3,0.3,1,6.67,1.5,2.25,0.2,1,8.66,1.25,2.4,0,1,5.4,1.2,2.5,0,0,5.51,0.5,1.7,0.2,1,5.64,0.9,1.7,0.3,1,7.62,1.05,2.2,0.2,1,4.98,1,2.2,0.2,1,8.79,1.2,2.4,0.4,1,3.63,1.3,2.4,0,0,8.63,0.5,0.5,0.5,1,8.26,1.05,1.05,1,1,8.66,1.2,1.3,1.2,0,1.38,0.5,1.75,0.2,0,1.27,0.8,1,0.2,1,6.94,1.1,2.25,0.2,1,0.75,1,2.2,0.2,1,8.29,1.2,2.4,0,1,6.94,1.5,2.5,0,7.895716946,7.817531306,A longer graph (going beyond 72 hours),BA Graphic communication ,Undergrad,1,20,Female,
Typography ,6,Typography 6,1,4.45,0.5,2,0.2,1,3.44,1,2.3,0.3,1,6.96,2,2.3,0.2,1,5.16,2,2.5,0.3,1,6.46,1.2,2.5,0,1,8.07,1.2,2.4,0,0,8.55,0.5,1.8,0.2,1,2.57,1,2,0.2,0,5.83,1,2,0.2,1,4.69,1,2.2,0.2,0,2.99,1,1.5,0.5,1,3.39,1.5,2.5,0,0,9.5,0.5,0.5,0.5,0,6.17,1,1,1,1,9.79,1.2,1.2,1.2,0,7.65,0.6,2,0.2,1,2.47,0.8,2,0.2,1,6.94,1,2.3,0.2,1,6.94,1.1,2.3,0.2,1,7.97,1.2,2.5,0,1,0.83,1.5,2.5,0,9.743202417,9.483775811,The mean of all the predictions on the graphs ,Graphic communication BA ,Undergrad,1,19,Female,
Typography ,7,Typography 7,0,6.41,0.7,1.5,0.5,0,2.99,0.8,1.5,0.4,1,2.81,0.9,2,0.2,1,4.85,1,1.8,0.4,1,7.81,1.3,2,0.1,1,8.21,1.4,2,0.5,0,5.51,0.8,1.8,0.2,1,6.62,1.1,1.8,0.2,1,6.59,1.1,2.2,0.2,1,5.38,1.1,2.2,0.2,1,9.11,1.3,2.5,0,1,8.29,1.5,2.5,0,0,10,0.7,0.8,0.4,0,8.13,1,1.1,0.5,1,8.87,1.3,1.5,1,0,5.48,0.8,2,0.2,0,5,0.6,2,0.2,1,4.61,1.1,1.3,0.2,1,4.61,1.1,2.2,0.2,1,8.71,1.2,2.5,0,1,5.98,1.2,2.5,0,6.945996276,8.264758497,The weather from the last couple of days to see how it has progressed,Graphic Communication BA,Undergrad,1,20,Female,
Typography ,8,Typography 8,0,9.61,0.5,1.4,0.3,0,6.14,0.9,1.4,0.3,1,6.41,1.5,1.5,0.5,0,5.72,0.9,1.5,0.3,1,8.87,1.5,2,0.5,1,3.18,2,2.5,0.5,0,8.76,0.5,1.8,0.25,0,5.38,0.8,2,0.2,1,6.54,1.1,1.5,0.4,1,3.18,0.9,2,0.25,1,10,1.2,2,0.5,1,6.27,1.5,2.25,0,0,0.08,0.5,0.5,0.5,1,8.6,1.05,1.05,1.05,1,0.27,1.2,1.2,1.2,0,7.73,0.5,2,0.25,0,8.66,0.7,1.9,0.2,1,10,1.1,2.25,0.2,1,0,1.2,2.25,0.2,1,6.14,2.5,2.5,0,1,8.87,2.4,2.4,0,9.981378026,9.982110912,Always having outliers and medians is a good way to see how frequently the forecasts can vary from what the average is,Graphic communication bscs ,Undergrad,1,22,Male,
Typography ,9,Typography 9,0,9.85,0.8,1.4,0.4,1,6.2,1.5,1.5,0.25,1,10,1.1,1.5,0.5,1,4.79,1,1.5,0.5,1,7.31,1.25,2,0.5,1,9.87,1.4,2,0.5,0,9.77,0.9,1.3,0.3,1,4.87,1.2,1.75,0.25,0,10,1.1,1.5,0.3,1,7.17,1.3,1.85,0.25,1,7.07,1.4,2.3,0.25,1,6.38,2.25,2.4,0,0,10,0.5,0.5,0.5,0,8.76,1.1,1.2,1,1,10,1.25,1.25,1.25,1,4.56,1.5,1.75,0.25,1,1.57,1.75,1.5,0.6,0,8.89,1.2,1.4,0.5,1,5.06,1.5,2.25,0.25,1,4.66,1.75,2.3,0.5,1,2.33,2,2.25,0.5,10,8.336314848,Median range previous results from different years.,Graphic Communication ,,1,19,Male,Which ship do they go for in the end%3F And we're all of the graphs presenting the same data%3F 
Typography ,10,Typography 10,0,8.97,0.7,1.4,0.3,1,7.54,1.7,2.3,0.2,0,7.02,1.4,1.6,0.4,1,10,1.7,2.3,0.2,1,9.45,1.4,2.3,0.4,1,9.03,1.5,2.6,0.2,0,9.79,0.8,0.9,0.4,0,9.98,1.5,2,0.5,0,7.41,0.7,1.1,0.4,1,7.28,1.1,1.9,0.3,0,4.87,1,1.2,0.4,1,6.72,1.7,2.3,0.5,0,10,0.7,0.9,0.5,0,9.32,0.8,1.1,0.5,0,7.94,0.9,1.3,0.5,0,5.11,0.8,2,0.2,0,7.09,0.7,2.4,0.2,0,7.62,0.7,1.1,0.5,1,7.12,1.2,2.3,0.2,1,5.72,1.3,2.7,0.1,0,5,1,2.7,0.1,8.063314711,5.062611807,The time of day (day/night),Graphic communication ,,1,19,Female,
Typography ,11,Typography 11,1,7.33,1.4,1.75,0.25,0,2.39,1.8,1.9,0.3,1,9.11,1,2.1,0.3,1,6.14,1.5,2.4,0.3,1,6.8,1.2,2.4,0.1,1,1.38,1.2,2.4,0.1,0,7.76,0.5,1.8,0.3,1,8.02,1.5,1.7,0.2,1,7.81,1.05,2.2,0.2,1,6.54,1.5,2,0.2,1,6.22,2.4,2.4,0.1,1,#VALUE!,1.2,2.4,0,0,8.34,0.5,0.5,0.5,1,4.16,1.05,1.05,1.05,1,7.76,1.2,1.2,1.5,0,7.04,0.5,2.2,0.3,1,1.65,1.4,1.7,0.3,1,7.47,1.1,2.1,0.2,1,1.54,1.3,2.1,0.2,1,7.07,1.2,2.3,0,1,0.98,1.2,2.6,0,7.802607076,7.745974955,,Graphic Communication BA,Undergrad,1,24,Male,
Typography ,12,Typography 12,0,6.54,0.5,1.6,0.2,0,2.07,0.9,1.8,0.2,1,5.88,1.1,2.3,0.2,0,3.76,0.9,2.3,0.2,1,7.33,1.25,2.4,0.1,1,6.38,1.3,2.4,0.1,0,8.18,0.55,1.9,0.2,0,0.43,0.9,1.9,0.2,1,9.11,1.1,2.25,0.25,1,2.86,1,2.25,0.2,1,8.5,1.2,2.5,0,1,3.52,1.25,2.4,0,0,9.79,0.6,0.6,0.6,1,6.3,1.05,1.05,1.05,1,8.23,1.2,1.2,1.2,0,6.33,0.6,1.8,0.2,0,3.15,0.6,1.8,0.2,1,3.74,1.05,2.25,0.2,1,2.94,1.2,2.2,0.2,1,4.37,1.25,2.4,0,1,0.08,1.1,2.4,0,9.087523277,8.586762075,Possibly dotted lines/more numbers on the left axis to be more sure of an exact number. Also the ones with less wiggly lines seemed easier to follow.,Graphic Communication and Typography - BA undergraduate ,Undergrad,1,19,Male,
Typography ,13,Typography 13,0,5.27,0.5,1.7,0.2,0,5.06,1.6,1.7,0.2,1,2.97,2.25,2.25,0.2,0,4.9,0.9,2.2,0.2,1,7.54,1.2,2.25,0,1,6.46,1.8,2.4,0,0,6.33,0.5,1.7,0.2,0,2.17,1.7,1.8,0.2,1,1.46,2.3,2.3,0.2,0,3.36,1.3,2.2,0.2,1,4.34,1.2,2.4,0,1,5.22,2,2.4,0.5,0,9.08,0.5,0.6,0.5,1,5.14,1.1,1.1,0.5,1,7.15,1.3,1.3,0.5,0,4.95,1.7,1.7,0.3,1,6.51,1.5,1.8,0.2,1,5.08,2.2,2.2,0.2,1,5.08,2.2,2.3,0.2,1,2.65,1.3,2.3,0,1,2.76,2.3,2.3,0,6.25698324,7.692307692,More information%2C possibly more graphs. Also a brief understanding of how to read the graphs beforehand. ,BA graphic communication and typography ,Undergrad,1,20,Female ,
Typography ,14,Typography 14,0,8.68,0.6,1,0.4,0,8.26,1,1.7,0.25,1,8.6,1.1,1.5,0.5,0,6.46,1,1.3,0.4,1,7.78,1.25,1.75,0.4,1,6.96,1.3,1.75,0.5,0,8.5,0.75,1,0.4,0,6.12,1,1.4,0.25,1,6.78,1.1,1.75,0.35,0,6.41,1,1.25,0.75,1,6.78,1.5,2,0.5,0,5.88,2,2.4,0,0,10,0.6,0.75,0.5,1,7.41,1.1,1.3,0.9,1,10,1.25,1.5,1,0,8.74,0.6,0.9,0.25,0,5.48,0.9,1,0.5,1,8.02,1.1,1.4,0.5,1,3.23,1.3,2.3,0.25,0,7.2,1.25,2.4,0,1,6.09,1.3,2,0.75,6.722054381,7.772861357,The median was always pretty useful when it was given. Well done bro!,Bachelor of Arts in Media Design,Undergrad,2,22,Female,
Typography ,15,Typography 15,1,4.61,1.5,1.7,0.3,1,2.76,1.4,1.8,0.3,1,4.93,1.1,2.3,0.2,1,0.88,1.5,2.3,0.3,1,4.21,2,2.4,0,1,2.2,1.9,2.4,0,0,6.46,0.5,2.4,0.2,1,5.53,1.4,1.8,0.2,1,7.28,1.1,2.3,0.2,1,4.61,2.4,2.4,0.2,1,7.6,1.2,2.4,0,1,7.54,2,2.4,0,0,8.47,0.6,0.6,0.6,1,6.7,1.1,1.1,1.1,1,7.17,1.3,1.3,0.5,1,5.27,0.6,1.7,0.2,1,5.19,2,2,0.2,1,7.49,1.1,2.3,0.2,1,7.09,2.2,2.2,0.2,1,6.91,1.2,2.4,0,1,7.52,0.5,2.7,0,6.63141994,6.932153392,Need the median every time ,Graphic Communication,,1,20,Female,
Typography ,16,Typography 16,0,9.32,0.5,1.5,0.3,0,5.27,0.9,1.4,0.4,1,7.09,1.05,1.5,0.4,1,6.38,0.9,1.4,0.4,1,9.48,1.2,1.9,0.5,1,7.44,1.2,1.8,0.5,0,5,0.5,1.4,0.3,1,9.37,0.9,1.8,0.25,1,8.29,1.05,2.2,0.2,1,5.11,1,2.1,0.2,1,7.94,1.3,2.4,0,1,9.77,1.4,2.2,0,0,9.77,0.6,0.8,0.4,1,6.49,1.01,1.1,1,1,6.72,1.3,1.3,1.3,0,8.52,0.5,1.5,0.25,0,7.28,0.5,2,0.25,0,4.13,1,2.2,0.3,1,8.15,1,2.2,0.2,1,7.84,1.25,2,0.2,1,7.94,1.2,2,0.1,8.187311178,7.84660767,Clear median's as well as lowest and highest possibilities,Graphic Communication,,1,19,Male,
Typography ,17,Typography 17,0,5.64,0.5,2,0.3,0,5.51,1.5,2,0.2,0,4.18,1,2.5,0.2,0,4.16,2,1.7,0.2,1,5.14,2.6,2.8,0.1,1,4.66,0.5,2.5,0.5,1,4.24,2,2.3,0.3,0,2.89,1.5,2,1,1,4.29,2,2.5,0.2,1,3.13,1.5,2.5,0.5,1,4.85,2,2.5,0.5,1,4.74,2,2.5,1,0,5.03,0.5,0.6,0.4,0,5.45,1,1.2,0.5,0,4.03,1.3,1.5,0.5,0,5.08,0.5,1.8,0.2,1,3.79,2,3,0.5,0,3.79,1,1.5,0.5,0,4.9,2,2.5,0.2,1,5.38,2.6,3,0.1,1,3.87,2.5,2.6,0,8.659217877,7.316636852,What type of weather - rain%2C snow etc. ,Graphics Communication ,,1,19,Female,
Typography ,18,Typography 18,0,6.38,0.5,1.7,0.3,1,1.78,1.1,1.8,0.3,0,2.44,1.1,2.2,0.2,0,1.78,1.2,2.3,0.2,1,7.76,1.2,2.4,0.1,1,4.48,1.4,2.3,0.1,0,7.47,0.5,1.8,0.2,1,3.05,2,1.8,0.2,0,5.72,1.1,2.3,0.2,1,4.48,1.2,2.2,0.3,1,4.95,1.3,2.5,0,1,6.04,1.4,2.5,0,0,9.87,0.5,0.6,0.4,0,6.27,1.1,1.3,0.8,0,1.7,1.2,1.3,1.1,0,7.17,0.5,1.9,0.2,1,1.91,0.9,1.8,0.3,0,5.56,1.1,2.4,0.2,1,7.07,1.4,2.4,0.3,1,9.03,1.3,2.4,0,1,5.9,1.4,2.5,0,7.895716946,7.728085868,Data from previous days with similar data,Graphic communication%2C undergraduate ,Undergrad,1,20,Female ,The ones without a median confused me more
Typography ,19,Typography 19,1,1.57,0.9,1.2,0.5,1,7.31,1.8,2,1.5,0,3.1,1,1.1,0.8,1,7.54,1.5,1.6,1,1,7.2,1.2,1.4,1,1,6.75,2,2.5,2,0,7.73,0.3,0.5,0.2,1,3.13,1.5,1.7,1.2,0,3.44,1.3,1.2,1,1,5.69,1.5,2.1,1.4,1,2.92,1.3,1.7,0.5,1,1.88,2,2.4,1.6,0,8.34,0.5,0.8,0.5,1,4.98,1.2,1.5,1.1,1,6.7,1.4,1.5,1.2,0,7.62,0.6,0.8,0.5,0,4.11,1,1.5,0.5,0,0.08,1,1.3,0.8,1,7.68,1.5,2,1.4,1,4.98,1.3,1.5,1.2,1,6.7,2.6,2.5,2,6.536312849,6.851520572,,Part 2 Typography and graphic communication ,,1,20,Male,
Typography ,20,Typography 20,0,6.59,0.6,1.8,0.2,1,7.57,0.9,1.8,0.3,1,9.48,1,2.3,0.3,1,9.18,1.1,2.3,0.3,1,8.5,1.3,2.3,0.2,1,9.82,1.4,2.3,0.1,0,4.26,0.6,1.7,0.2,1,8.13,1,1.8,0.2,0,8.47,1,2.2,0.2,1,6.7,1.1,2.1,0.2,1,8.68,1.2,2.3,0,1,8.05,1.4,2.5,0,0,9.93,0.6,0.6,0.5,0,3.71,1,1,0.9,1,9.42,1.2,1.5,0.4,0,6.04,0.8,0.8,0.2,1,7.7,0.8,1.8,0.2,1,8.89,1.1,2.2,0.2,0,4.69,1,2.3,0.2,1,8.97,1.2,2.4,0,1,7.04,1.2,2.4,0,6.275605214,8.121645796,,Graphic communications,,1,20,Male,
Typography ,21,Typography 21,0,5.4,0.5,1.4,0.4,0,2.84,0.9,1.4,0.4,1,6.54,1.1,1.4,0.3,0,2.33,0.9,1.4,0.3,1,7.02,1.2,1.8,0.5,1,6.51,1.25,1.75,0.5,0,8.21,0.5,1.25,0.3,0,3.95,0.9,1.3,0.3,1,5.83,1.1,1.8,0.25,1,4.95,1.1,1.8,0.25,1,8.81,1.25,1.25,0.25,1,5.35,1.3,1.8,0.5,0,5.08,0.5,0.5,0.5,1,4.77,1.1,1.1,1,1,6.25,1.2,1.2,1.2,0,7.84,0.5,1.7,0.2,0,3.23,0.7,1.8,0.2,1,5.98,2.25,2.25,0.25,1,2.62,1.2,2.2,0.2,1,7.52,1.2,2.3,0,1,3.5,1.3,2.3,0,6.66163142,7.241887906,Previous weather and more data,Graphic communication undergraduate ,Undergrad,1,19,Female,