Samples of pages were randomly selected from three different novels. The Flesch Reading Ease scores were obtained from each page, and the TI-83/84 Plus calculator results from analysis of variance are given below. Use a 0.05 significance level to test the claim that the three books have the same mean Flesch Reading Ease score. Click the icon to view the TI-83/84 Plus calculator results. What is the conclusion for this hypothesis test? O A. Fail to reject Ho. There is insufficient evidence to warrant the rejection of the claim that the three books have the same mean Flesch Reading Ease score. OB. Reject Ho. There is insufficient evidence to warrant the rejection of the claim that the three books have the same mean Flesch Reading Ease score. OC. Fail to reject Ho. There is sufficient evidence to warrant the rejection of the claim that the three books have the same mean Flesch Reading Ease score. O D. Reject Ho. There is sufficient evidence to warrant rejection of the claim that the three books have the same mean Flesch Reading Ease score. Calculator results One-way ANOVA F=9.1663645567 p=6.8229653E-4 Factor df=2 SS=1367.54611 ↓ MS=683.773057 One-way ANOVA ↑ MS=683.773057 Error df = 33 SS=2461.66414 MS=74.5958829 Sxp = 8.63689081 Print Done X

A researcher wants to know if there is a statistically significant difference between Liberal Arts majors and other students on average number of books (other than those required by course work) read per year.  To test this research question, sample students attending a large university have been randomly selected.  Using the sample information suggested below, conduct a hypothesis test at 0.05 significance level. Sample 1 (Liberal Arts majors) Sample 2 (Other majors) = 16.2 = 13.7 s1 = 2.3 s2 = 9.0 N1 = 236 N2 = 321   - What is the critical Z-score?   - Compute the test statistic value (i.e., calculated or obtained Z-score).   -Determine if the null hypothesis is rejected AND state what it means.

A  simple random sample of size n = 200 drivers with a valid driver's license is asked if they drive an American-made automobile. Of the 200 drivers surveyed, 118 responded that they drive an American-made automobile. Determine if a majority of those with a valid driver's license drive an American-made automobile at the a = 0.05 level of significance. .....                                                                                                                                          What type of variable is "drive an American-made automobile, or not"?                                                                      A. Qualitative with two possible outcomes                                                                                                                   B. Discrete                                                                                                                                                                     C. Continuous…

A research poll was conducted to investigate opinions about global warming. The respondent who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results for two age brackets are given in the table below. Human Activity Natural Patterns Don't know Under 30 108 41 7 65 and over 121 71 43 a. At the 1% significance level, test the claim that age bracket is independent of the choice for global warming. State the null and alternate hypothesis, find the test statistic and p-value, and state the decision. b. Do respondents from both age brackets appearto agree, or is there a substantial difference? What distribution is used to do the hypothesis testing? What is different about this C. distribution?

A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…

Results from a civil servant exam are shown in the table to the right. Is there sufficient evidence to support the claim that the results from the test are​discriminatory? Use a 0.01 significance level.                           Passed    Failed   White candidates    17      14 Minority candidates 9        29   If: H0​: White and minority candidates have the same chance of passing the test. H1​: White and minority candidates do not have the same chance of passing the test.   answer the following:  **1.  Determine the test statistic.  x2 = ____ **2.  Determine the P-value of the test statistic. p= ____

The first question in in the second picture gets a little cut off, it says "the test statistic for this is ___". Thank you!

OI al College is less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Select an answer Women Men 439 242 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Yes 350 No 262 Ho: Select an answer ✓ Select an answer ✓ Select an answer ✓ (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and μ2 represent the proportion and mean for men.) H₁: b. The test statistic ? | = c. The p-value d. The p-value is ? ✓ a e. Based on this, we should f. Thus, the final conclusion is that ... Select an answer ✓ Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4…

An experiment was conducted to test if 2 new anti-anxiety medications will have an effect on number of anxiety symptoms. The researcher randomly assigned participants to one of the three experimental groups. Groups 1 and 2 took the 2 new medications while Group 3 took a placebo pill. The researcher was interested in determining whether there would be a difference in the number of anxiety symptoms among the three groups. Assume an alpha level of 0.05 and a two-tailed test. What statistical test should you use to evaluate the hypothesis above?     one-way independent ANOVA     Pearson Product-Moment Correlation     simple linear regression     multiple linear regression     three-way independent ANOVA

A criminologist was interested in whether there was any disparity in sentencing. She selected at random of 24 drug convictions for cocaine distribution and compared the prison terms given by two judges as below.  Judge1 Judge2 7 5 7 6 6 4 5 5 2 5 5 5 7 4 6 6 5 5 7 5 10 4 7 5 From performing a hypothesis test to determine if judge1 differs from judge2 in the mean of sentence years, what is the p-value? (Round off to three decimal places if necessary)