a.Determine what is the appropriate statistical procedure. b.Explicitly state the null hypothesis. c.Execute the proper calculations with the appropriate formula(s). d.Please state your conclusion based on the results you obtain. Present your results using APA format if appropriate.  e.Briefly state why you used this particular statistical procedure. - Assume p = .05 unless otherwise indicated. A research study was conducted to examine the differences between older and younger adults on perceived life satisfaction. A pilot study was conducted to examine this hypothesis. Ten older adults (over the age of 70) and ten younger adults (between 20 and 30) were given a life satisfaction test (known to have high reliability and validity). Scores on the measuring range from 0 to 60 with high scores indicative of high life satisfaction; low scores indicative of low life satisfaction. The data are presented below:   Older Adults Younger Adults 45 34 38 22 52 15 48 27 25 37 39 41 51 24 46 19 55 26 46 36

Explain the difference between statistical significance and practical significance. Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical…

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O FEEDBACK Content attribution Question The following data was calculated during a study on happiness levels. Now interpret the results for this hypothesis test: • The test statistic is calculated as to = 1.57 • The significance level is a = 0.025. • The p-value is between 0.05 and 0.10. Select the correct answer below: Fail to reject Họ. There is NOT strong evidence to conclude that the average age of adults who are the happiest is more than 65 years old. Fail to reject Họ . There is strong evidence to conclude that the average age of adults who are the happiest is more than 65 years old. Reject Ho. There is NOT strong evidence to conclude that the average age of adults who are the happiest is more than 65 years old. Reject Ho. There is strong evidence to conclude that the average age of adults who are the happiest is more than 65 years old. B FEEDBACK MORE INSTRUCTION SUBMIT Content attribution

If you use a 0.025 level of significance in a​ (two-tail) hypothesis​ test, what is your decision rule for rejecting a null hypothesis that the population mean is 600 if you use the Z​ test? Click here to view page 1 of the Normal table. LOADING... Click here to view page 2 of the Normal table. LOADING...       Question content area bottom Part 1 Which of the following decision rules is​ correct?     A. Reject H0 if ZSTAT<−2.24 or ZSTAT>+2.24.   B. Reject H0 if −2.24<ZSTAT<+2.24.   C. Reject H0 if −1.96<ZSTAT<+1.96.   D. Reject H0 if ZSTAT<−1.96 or ZSTAT>+1.96.

In a random sample of​ males, it was found that 27 write with their left hands and 210 do not. In a random sample of​ females, it was found that 55 write with their left hands and 454 do not. Use a 0.05 significance level to test the claim that the rate of​ left-handedness among males is less than that among females. Complete parts​ (a) through​ (c) below.       Question content area bottom Part 1 a. Test the claim using a hypothesis test.   Consider the first sample to be the sample of males and the second sample to be the sample of females. What are the null and alternative hypotheses for the hypothesis​ test?     A. H0​: p1=p2 H1​: p1>p2   B. H0​: p1≥p2 H1​: p1≠p2   C. H0​: p1≠p2 H1​: p1=p2   D. H0​: p1=p2 H1​: p1≠p2   E. H0​: p1=p2 H1​: p1<p2   F. H0​: p1≤p2 H1​: p1≠p2 Part 2 Identify the test statistic.   z=enter your response here ​(Round to two decimal places as​ needed.) Part 3 Identify the​ P-value.…

In a study of the accuracy of fast food​ drive-through orders, one restaurant had 40 orders that were not accurate among 321 orders observed. Use a 0.01 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable?       Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0​: p≠0.1 H1​: p=0.1   B. H0​: p=0.1 H1​: p<0.1   C. H0​: p=0.1 H1​: p≠0.1   D. H0​: p=0.1 H1​: p>0.1 Identify the test statistic for this hypothesis test.   The test statistic for this hypothesis test is ______ ​(Round to two decimal places as​ needed.) Identify the​ P-value for this hypothesis test.   The​ P-value for this hypothesis test is _______ ​(Round to three decimal places as​ needed.)     Identify the conclusion for this hypothesis test. A. Reject H0. There is not sufficient evidence to warrant rejection of the claim that the rate of…

.  What is the appropriate analysis? Using statistical equations, give complete statements of the null and alternative hypotheses. Give any appropriate equations that may be generated by the analysis.