poinyRunning heart rateJose is a physician who is researching to what extent running affects heart rate in 18-25 year-olds. He believes that less than50% 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 heartrate 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 nulldistribution.

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In this case, the claim to be tested: "The percentage of individuals with age between 18 and 25…

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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.

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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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Question

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.

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