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The Following Scatterplot Displays the Finish Time (In Minutes) and Age

Question 28

Multiple Choice

The following scatterplot displays the finish time (in minutes) and age (in years) for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande) . 
The following scatterplot displays the finish time (in minutes)  and age (in years)  for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande) .     Below are the same data for the female racers in this year's race.    -Select the best explanation for how one sample would be simulated in order to generate the null distribution for the females. A)  Holding the ages constant, randomize the order of the race finish times. Plot the correlation coefficient of the shuffled data on the null distribution. B)  Add or subtract the appropriate value from each age and race finish time in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution. C)  Flip a coin to decide whether to swap the values for age and race finish time or not. Plot the correlation coefficient of the randomized points on the null distribution. D)  Put each pair of (age, race finish time)  on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution. Below are the same data for the female racers in this year's race.
The following scatterplot displays the finish time (in minutes)  and age (in years)  for the male racers at the 2018 Strawberry Stampede (a 10k race through Arroyo Grande) .     Below are the same data for the female racers in this year's race.    -Select the best explanation for how one sample would be simulated in order to generate the null distribution for the females. A)  Holding the ages constant, randomize the order of the race finish times. Plot the correlation coefficient of the shuffled data on the null distribution. B)  Add or subtract the appropriate value from each age and race finish time in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution. C)  Flip a coin to decide whether to swap the values for age and race finish time or not. Plot the correlation coefficient of the randomized points on the null distribution. D)  Put each pair of (age, race finish time)  on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.
-Select the best explanation for how one sample would be simulated in order to generate the null distribution for the females.


A) Holding the ages constant, randomize the order of the race finish times. Plot the correlation coefficient of the shuffled data on the null distribution.
B) Add or subtract the appropriate value from each age and race finish time in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution.
C) Flip a coin to decide whether to swap the values for age and race finish time or not. Plot the correlation coefficient of the randomized points on the null distribution.
D) Put each pair of (age, race finish time) on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.

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