Running heart rate - Jose is a physician who is researching to what extent running affects heart rate in 18-25 year-olds. He believes that less than 50% of 18-25 year-olds will experience a heart rate of more than 120 beats per minute (bpm) after running a mile. Jose recruits a random sample of 464 people between the ages of 18 and 25 to run a mile and records their heart rate. He finds that 184 have a heart rate of more than 120 bpm. Round all calculated answers to 4 decimal places.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 8E
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Running heart rate
Jose is a physician who is researching to what extent running affects heart rate in 18-25 year-olds. He believes that less than
50% of 18-25 year-olds will experience a heart rate of more than 120 beats per minute (bpm) after running a mile.
Jose recruits a random sample of 464 people between the ages of 18 and 25 to run a mile and records their heart rate. He finds that 184 have a heart
rate of more than 120 bpm.
Round all calculated answers to 4 decimal places.
Transcribed Image Text:poiny Running heart rate Jose is a physician who is researching to what extent running affects heart rate in 18-25 year-olds. He believes that less than 50% of 18-25 year-olds will experience a heart rate of more than 120 beats per minute (bpm) after running a mile. Jose recruits a random sample of 464 people between the ages of 18 and 25 to run a mile and records their heart rate. He finds that 184 have a heart rate of more than 120 bpm. Round all calculated answers to 4 decimal places.
4. Calculate the p-value.
5. Which of the statements below are correct interpretations of the p-value? You should choose all that are correct interpretations.
A. The p-value is the proportion of times in repeated sampling that the alternative hypothesis is true.
B. This p-value suggests that based on this sample there is strong evidence that the null model is not compatible with the data.
C. This p-value suggests that based on this sample there is extremely strong evidence that the null model is not compatible with the data.
D.
The p-value is the probability that the null hypothesis is true.
E. The p-value is the probability of obtaining a sample result at least as or more in favor of the alternative hypothesis if the null hypothesis is true.
F. If we repeat the hypothesis test many times, the p-value is the proportion of times our test statistic will be close to the expected value of the null
distribution.
Transcribed Image Text:4. Calculate the p-value. 5. Which of the statements below are correct interpretations of the p-value? You should choose all that are correct interpretations. A. The p-value is the proportion of times in repeated sampling that the alternative hypothesis is true. B. This p-value suggests that based on this sample there is strong evidence that the null model is not compatible with the data. C. This p-value suggests that based on this sample there is extremely strong evidence that the null model is not compatible with the data. D. The p-value is the probability that the null hypothesis is true. E. The p-value is the probability of obtaining a sample result at least as or more in favor of the alternative hypothesis if the null hypothesis is true. F. If we repeat the hypothesis test many times, the p-value is the proportion of times our test statistic will be close to the expected value of the null distribution.
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