c please A survey of 1000 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 58% of the females and 51% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 600 females, 348 reported window tinting as their preferred luxury upgrade of choice, while of 400 males, 204 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where π1 is the population proportion of females who said they prefer window tinting as a luxury upgrade and π2 is the population proportion of males who said they prefer window tinting as a luxury upgrade. A. H0: π1=π2 H1: π1≠π2 Your answer is correct. B. H0: π1=π2 H1: π1>π2 C. H0: π1≠π2 H1: π1=π2 D. H0: π1≠π2 H1: π1<π2 E. H0: π1≠π2 H1: π1>π2 F. H0: π1=π2 H1: π1<π2 Determine the value of the test statistic. ZSTAT=2.182.18 (Type an integer or a decimal. Round to two decimal places as needed.) Determine the critical value(s) for this test of hypothesis. The critical value(s) is (are) negative 1.96 comma 1.96−1.96, 1.96. (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.) State the conclusion. Reject the null hypothesis. There is sufficient evidence to support the claim that there is a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade. b. Find the p-value in (a) and interpret its meaning. The p-value in part (a) is 0.02920.0292. (Type an integer or a decimal. Round to three decimal places as needed.) What does the p-value mean? A. The p-value is the probability of falsely rejecting the null hypothesis. Your answer is not correct. B. The p-value is the probability of obtaining a result at least as extreme as the one obtained with this sample given that the null hypothesis is true. This is the correct answer. C. The p-value is the probability that the null hypothesis is true. D. The p-value is the probability of rejecting the null hypothesis if the test were repeated for different samples. c. Construct and interpret a 95% confidence interval estimate for the difference between the proportion of males and females who said they prefer window tinting as a luxury upgrade. The confidence interval is enter your response here to enter your response here. (Type integers or decimals. Round to four decimal places as needed. Use ascending order.)

c please A survey of 1000 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 58% of the females and 51% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 600 females, 348 reported window tinting as their preferred luxury upgrade of choice, while of 400 males, 204 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where π1 is the population proportion of females who said they prefer window tinting as a luxury upgrade and π2 is the population proportion of males who said they prefer window tinting as a luxury upgrade. A. H0: π1=π2 H1: π1≠π2 Your answer is correct. B. H0: π1=π2 H1: π1>π2 C. H0: π1≠π2 H1: π1=π2 D. H0: π1≠π2 H1: π1<π2 E. H0: π1≠π2 H1: π1>π2 F. H0: π1=π2 H1: π1<π2 Determine the value of the test statistic. ZSTAT=2.182.18 (Type an integer or a decimal. Round to two decimal places as needed.) Determine the critical value(s) for this test of hypothesis. The critical value(s) is (are) negative 1.96 comma 1.96−1.96, 1.96. (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.) State the conclusion. Reject the null hypothesis. There is sufficient evidence to support the claim that there is a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade. b. Find the p-value in (a) and interpret its meaning. The p-value in part (a) is 0.02920.0292. (Type an integer or a decimal. Round to three decimal places as needed.) What does the p-value mean? A. The p-value is the probability of falsely rejecting the null hypothesis. Your answer is not correct. B. The p-value is the probability of obtaining a result at least as extreme as the one obtained with this sample given that the null hypothesis is true. This is the correct answer. C. The p-value is the probability that the null hypothesis is true. D. The p-value is the probability of rejecting the null hypothesis if the test were repeated for different samples. c. Construct and interpret a 95% confidence interval estimate for the difference between the proportion of males and females who said they prefer window tinting as a luxury upgrade. The confidence interval is enter your response here to enter your response here. (Type integers or decimals. Round to four decimal places as needed. Use ascending order.)

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

See similar textbooks

Related questions

Question

c please

A survey of

1000

adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that

58%

of the females and

51%

of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of

600

females,

348

reported window tinting as their preferred luxury upgrade of choice, while of

400

males,

204

reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below.

a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the

0.05

level of significance?

State the null and alternative hypotheses, where

π1

is the population proportion of females who said they prefer window tinting as a luxury upgrade and

π2

is the population proportion of males who said they prefer window tinting as a luxury upgrade.

H0:

π1=π2

H1:

π1≠π2

Your answer is correct.

H0:

π1=π2

H1:

π1>π2

H0:

π1≠π2

H1:

π1=π2

H0:

π1≠π2

H1:

π1<π2

H0:

π1≠π2

H1:

π1>π2

H0:

π1=π2

H1:

π1<π2

Determine the value of the test statistic.

ZSTAT=2.182.18

(Type an integer or a decimal. Round to two decimal places as needed.)

Determine the critical value(s) for this test of hypothesis.

The critical value(s) is (are)

negative 1.96 comma 1.96−1.96, 1.96.

(Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.)

State the conclusion.

Reject

the null hypothesis. There is

sufficient

evidence to support the claim that there is a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade.

b. Find the p-value in (a) and interpret its meaning.

The p-value in part (a) is

0.02920.0292.

(Type an integer or a decimal. Round to three decimal places as needed.)

What does the p-value mean?

The p-value is the probability of falsely rejecting the null hypothesis.

Your answer is not correct.

The p-value is the probability of obtaining a result at least as extreme as the one obtained with this sample given that the null hypothesis is true.

This is the correct answer.

The p-value is the probability that the null hypothesis is true.

The p-value is the probability of rejecting the null hypothesis if the test were repeated for different samples.

c. Construct and interpret a