← The display provided from technology available below results from using data for a smartphone carrier's data speeds at airports to test the claim that they are from a population having a mean less than 5.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. Click the icon to view the display from technology. Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? OA. Ho: <5.00 Mbps H₁: μ = 5.00 Mbps OC. Ho: μ=5.00 Mbps H₁: μ#5.00 Mbps Identify the test statistic. (Round to two decimal places as needed.) OB. Ho: 5.00 Mbps H₁: μ> 5.00 Mbps D. Ho: H=5.00 Mbps H₁: μ< 5.00 Mbps Display from Technology T-Test H<5.00 t= -0.288047 p=0.387332 x=4.78 Sx=5.123487 n=45 - X

The accompanying table lists pulse rates. Use a 0.05 significance level and apply the methods of two-way analysis of variance. What is the conclusion? State the null and alternative hypotheses in the test for the effect of an interaction between row and column factors. Ho: There interaction between gender and age. H₁: There interaction between gender and age. What is the value of the test statistic for this test? O B. Ho: The row values are from populations with the same standard deviation. H₁: At least one of the rows is sampled from a population with a standard deviation different from the others. F= (Round to two decimal places as needed.) What is the corresponding P-value of the test statistic, F, for this test? P-value = (Round to three decimal places as needed.) State the conclusion of this test. Ho. There sufficient evidence to warrant rejection of the claim that pulse rates are not affected by an interaction between gender and age. There State the null and alternative…

The city manager measures response times by looking at the proportion of calls for which paramedics arrived within 8 minutes. Last year, paramedics arrived on scene 75% of the time within 8 minutes.  The city manager wants to determine whether they have done significantly better this year. State appropriate null and alternative hypotheses for the city manager to test. Describe a Type I and Type II error in this setting. Explain the consequences of each type of error. Which is more serious: a Type I error or a Type II error? Justify your answer

Data were collected from 400 patients in the US about their estrogen level.  Out of the 400, 35 patient have abnormal estrogen levels. On a national level, 8 %  of patients have abnormal estrogen level. Researchers want to know the sample proportion differs from the national level. 5% is used for significance.  Give the Ho and Ha. The appropriate test. Decision rule. Test calculations. Conclusion with comparison to alpha or critical value. I think this is a two tailed test. Use a one sample t- test. I think the null is rejected.   t (40-1) = (400-35) / (.05 divided by sqrt 31) This is where I get stuck.

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? Click the icon to view the data table. tor Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is independent of seat belt use. H The amount of smoking is not independent of seat belt use. izze O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H: Heavy smokers are less likely than non-smokers to wear a seat belt. O C. Ho: The amount of smoking is dependent upon seat belt use. H, The amount of smoking is not dependent upon seat belt use O D. Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H, Heavy…

A publishing company has developed a study guide (reference book) for GRE Math test. They want to test if this reference book does help students perform better on the test. The company recruited a random sample of students who are planning to take this test and let them use the new reference book. Their scores are listed below. Test the null hypothesis that the students' mean score is not different from the national average (at a significance level of .05) by answering the following questions. The national statistics indicates that the average score for the population is 68.5. Scores: 70, 68, 93, 78, 73, 99, 81, 79, 61 (1) Set up hypotheses ( (2) What is the df and the critical value for this test? ( (3) What is the standard error for this test? (4) What is the t_observed for this test? ( (5) Provide the decision and the interpretation

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