Part 1D: Check Your Understanding: Exploring Sample Data

Use the above Statspital App to check your understanding


Name (if more than one name, separate each name with a comma)

Instructor's Email

Enter the Player ID you used to play the game

A. Look at your graph. Estimate the highest effectiveness of the Yellow Medicine. What was the lowest effectiveness of the Yellow Medicine?
Highest = 52%, Lowest = 38% Highest = 42%, Lowest = 27%
Highest = 52%, Lowest =24% Highest = 35%, Lowest = 22%
B. Look at your graph. Estimate the highest effectiveness of the Blue Medicine. What was the lowest effectiveness of the Blue Medicine?
Highest = 52%, Lowest = 38% Highest = 42%, Lowest = 27% Highest = 52%, Lowest = 24% Highest = 35%, Lowest = 22%
C. Click on the Show Averages button in the app. Before interpreting the graph, we will review how to calculate averages with two patients. If one patient was given the Yellow Medicine and it had an effectiveness of 15 and a second patient had a Yellow Medicine effectiveness of 25, what is the average Yellow Medicine effectiveness?
15 25 20 40
D. Estimate the average value of all the Yellow Medicines.
28 29 34 42
E. Estimate the average value of all the Blue Medicines.
29 34 42 44
F. If the average of the Blue Medicine is higher than the average of the Yellow Medicine, does it mean that the Blue Medicine is more effective than the Yellow Medicine every time it is given to a patient? What does your graph show?
Yes, because averages are based on all data points. Yes, because averages are more important than individual points. No, means do not tell us anything about the spread of the data in each group. No, means help us understand how spread out the data is in each group.