1. What are the null and alternative hypotheses? Họ: p = 0.5000 - Ha: p> 0.5000 2. Calculate the null standard error for this hypothesis test. SE = 0.0358 3. What is the test statistic for this hypothesis test? z = 1.3601 4. Calculate the p-value. p = 0.0869 5. Based on the p-value, we have Some evidence against the null hypothesis.
1. What are the null and alternative hypotheses? Họ: p = 0.5000 - Ha: p> 0.5000 2. Calculate the null standard error for this hypothesis test. SE = 0.0358 3. What is the test statistic for this hypothesis test? z = 1.3601 4. Calculate the p-value. p = 0.0869 5. Based on the p-value, we have Some evidence against the null hypothesis.
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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Transcribed Image Text:A 2008 study by the National Highway Traffic Safety Administration reported that 50% of all car crashes occur within 5 miles of the
crashing person's home. Jill is skeptical of this report and believes that the true proportion of such crashes is more than 50%. Jill collects a random
Close to home
sample of 195 crashes and finds that 107 have occurred within 5 miles of the crashing person's home.
Round all numeric answers to 4 decimal places.
1. What are the null and alternative hypotheses?
Но р3 0.5000 v
На
p> 0.5000
2. Calculate the null standard error for this hypothesis test.
SE =
0.0358
3. What is the test statistic for this hypothesis test?
Z =
1.3601
4. Calculate the p-value.
p = 0.0869
5. Based on the p-value, we have Some
v evidence against the null hypothesis.
6. Which of the statements below are correct interpretations of the null standard error? You should choose all that are correct interpretations.
A. The null standard error estimates the width of a confidence interval for the hypothesized parameter, po-
B. The null standard error estimates the probability that the hypothesized parameter, po, is correct.
C. Under the null hypothesis model, we expect that a sample proportion will be, on average, within one null standard error of the hypothesized
parameter, Po-.
D. The null standard error tells us the strength of the null model.
E. The null standard error is the probability that the null hypothesis is true.
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