The table below summarizes data from a survey of a sample of women. Using a 0.05 significance​ level, and assuming that the sample sizes of 700 men and 400 women are​ predetermined, test the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of​ women?                 Gender of Interviewer         Man Woman     Women who agree   458 345     Women who disagree   242 55       To view the chi-square distribution table, see image below. Identify the null and alternative hypotheses. Choose the correct answer below.   A. H0​: The proportions of​ agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are the same.   B. H0​: The proportions of​ agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are different.   C. H0​: The response of the subject and the gender of the subject are independent. H1​: The response of the subject and the gender of the subject are dependent.     -Compute the test statistic (round to 5 decimal places)  -Find the critical value(s) use commas to seperate answers if needed.  -What is the conclusion based on the hypothesis test. (fail to reject or reject H0) (sufficent or insufficent evidence to warrent the rejection of the claim that the proptions agree or disagree responces are the same for the subjects that interviewed by men and the subjects interviewed by women. does the gender of the intervier affect the responses of women?

Results from the 2015 IPEDS Report indicate that about 1 out of 25 students at Mohawk Valley Community College identify themselves as being of Asian descent.  Which of the following choices is the best estimate for the percentage of students at MVCC who identify themselves as of Asian descent?     0.4%     2.5%     0.04%     4%     25%     0.25%

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Difference tests are conducted to determine: A. the representative value in a given set of scores. B. whether two or more groups differ on an outcome. C. if the assumptions of a statistical procedure have been met. D. whether two variables correlate with each other.

In the US, 46.2% of all people have type O blood, 39.1% have type A blood, 10.4% have type B blood and 4.3% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 3116 millionaires. What can be concluded at the a = 0.01 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest vwhole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 1434 A 1224 В 310 АВ 148 b. What is the correct statistical test to use? Select an answer V c. What are the null and alternative hypotheses? Ho: Blood type and income are independent. O The distribution of blood type for millionaires is not the same as it is for Americans in general. O The distribution of blood type for millionaires is the same as it is for Americans in general. O Blood type and income are dependent.

3. What is the sample mean for the following sample of scores? Scores: 1, 2, 5, 4

The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.

Pages were randomly selected from The Bear and the Dragon by Tom Clancy, Harry Potter and the Sorcerer's Stone by J.K. Rowling, and War and Peace by Leo Tolstoy. The Flesch Reading Ease scores for those pages are listed below. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Clancy 58.2 73.4 73.1 64.4 72.7 89.2 43.9 76.3 76.4 78.9 69.4 72.9 Rowling 85.3 84.3 79.5 82.5 80.2 84.6 79.2 70.9 78.6 86.2 74.0 83.7 Part (B) Identify the test statistic and the P-value The test statistic F= The P-value is notation.) Tolstoy 69.4 64.2 71.4 71.6 68.5 51.9 72.2 74.4 52.8 58.4 65.4 73.6 (Round to four decimal places.) (Round to six decimal places. Do not use scientific

The table below summarizes data from a survey of a sample of women. Using a 0.05 significance​ level, and assuming that the sample sizes of 800 men and 400 women are​ predetermined, test the claim that the proportions of​ agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of​ women?                 Gender of Interviewer         Man Woman     Women who agree   535 344     Women who disagree   265 56       Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below.   A. H0​: The proportions of​ agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1​: The proportions are the same.   B. H0​: The proportions of​ agree/disagree…

Past studies have indicated that the percentage of smokers was estimated to be about 34%. Given the new smoking cessation programs that have been implemented, you now believe that the percentage of smokers has reduced. You randomly surveyed 1783 people and found that 553 smoke. Use a 0.05 significance level to test the claim that the percentage of smokers has reduced.