Close to home ~ 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 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? Ho: ? Ha:? 2. Calculate the null standard error for this hypothesis test. SE = 3. What is the test statistic for this hypothesis test? z = 4. Calculate the p-value. p = 5. Based on the p-value, we have Some 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.

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Close to home
A 2008 study by the National Highway Traffic Safety Administration reported that 50% of all car crashes occur within 5 miles of the
%2
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
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 у?
p = 0.5000
p< 0.5000
2. Calcul
p > 0.5000
d error for this hypothesis test.
p = 0.5487
SE
p< 0.5487
p > 0.5487
or this hypothesis test?
3. What i
Z =
4. Calculate the p-value.
p =
5. Based on the p-value, we have
Little
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.
Transcribed Image Text:Close to home A 2008 study by the National Highway Traffic Safety Administration reported that 50% of all car crashes occur within 5 miles of the %2 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 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 у? p = 0.5000 p< 0.5000 2. Calcul p > 0.5000 d error for this hypothesis test. p = 0.5487 SE p< 0.5487 p > 0.5487 or this hypothesis test? 3. What i Z = 4. Calculate the p-value. p = 5. Based on the p-value, we have Little 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.
Close to home
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
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: ?
На: | ?
2. Calculate the null standard error for this hypothesis test.
SE =
3. What is the test statistic for this hypothesis test?
Z =
4. Calculate the p-value.
p =
5. Based on the p-value, we have Some
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.
Transcribed Image Text:Close to home 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 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: ? На: | ? 2. Calculate the null standard error for this hypothesis test. SE = 3. What is the test statistic for this hypothesis test? Z = 4. Calculate the p-value. p = 5. Based on the p-value, we have Some 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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