The mean exam score for 43 male high school students is 22.3 and the population standard deviation is 4.7. The mean exam score for 53 fémale High 20.9 and the population standard deviation is 4.3. At a = 0.01, can you reject the claim that male and female high school students have equal exam scores? Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table, Click here to view page 2 of the standard normal distribution table. ... (a) Identify the claim and state Ho and Ha. What is the claim? O A. Male high school students have greater exam scores than female students. O B. Male high school students have lower exam scores than female students. OC. Male and female high school students have equal exam scores. O D. Male and female high school students have different exam scores. What are Ho and H? O A. Ho: H1 SH2 O B. Ho: H1 H2 Ha: H1 SH2 O D. Ho: H1 2P2 O E. Ho: H1 H2 (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to two decimal places as needed. Use a comma to separate answers as needed.) What is/are the rejection region(s)? O B. z< -2.33, z> -2.33 O A. z> - 3.08 O D. z>2.58 OC. z< -2.58, z>2.58 OF. z<1.64 O E. z< -3.08, z> - 3.08 O H. z< - 2.33 O G. z< -1.64, z> 1.64 (c) Find the standardized test statistic z for p1- #2- z= (Round to two decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. O A. Reject Ho. The standardized test statistic is not in the rejection region. O B. Fail to reject Ho. The standardized test statistic is not in the rejection region. OC. Fail to reject Ho. The standardized test statistic is in the rejection region. O D. Reject Ho. The standardized test statistic is in the rejection region. (e) Interpret the decision in the context of the original claim. female high schoo evidence to the claim that male high school students have exam scores At the % significance level, there is
The mean exam score for 43 male high school students is 22.3 and the population standard deviation is 4.7. The mean exam score for 53 fémale High 20.9 and the population standard deviation is 4.3. At a = 0.01, can you reject the claim that male and female high school students have equal exam scores? Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table, Click here to view page 2 of the standard normal distribution table. ... (a) Identify the claim and state Ho and Ha. What is the claim? O A. Male high school students have greater exam scores than female students. O B. Male high school students have lower exam scores than female students. OC. Male and female high school students have equal exam scores. O D. Male and female high school students have different exam scores. What are Ho and H? O A. Ho: H1 SH2 O B. Ho: H1 H2 Ha: H1 SH2 O D. Ho: H1 2P2 O E. Ho: H1 H2 (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to two decimal places as needed. Use a comma to separate answers as needed.) What is/are the rejection region(s)? O B. z< -2.33, z> -2.33 O A. z> - 3.08 O D. z>2.58 OC. z< -2.58, z>2.58 OF. z<1.64 O E. z< -3.08, z> - 3.08 O H. z< - 2.33 O G. z< -1.64, z> 1.64 (c) Find the standardized test statistic z for p1- #2- z= (Round to two decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. O A. Reject Ho. The standardized test statistic is not in the rejection region. O B. Fail to reject Ho. The standardized test statistic is not in the rejection region. OC. Fail to reject Ho. The standardized test statistic is in the rejection region. O D. Reject Ho. The standardized test statistic is in the rejection region. (e) Interpret the decision in the context of the original claim. female high schoo evidence to the claim that male high school students have exam scores At the % significance level, there is
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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