III) Find the critical value and rejection region for the type of chi-square test with sample size n and level of significance a. Two -tailed test, n = 25, a = 0.10
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- The average retirement age in America is 65 years old. Do small business owners retire at an older average age? The data below shows the results of a survey of small business owners who have recently retired. Assume that the distribution of the population is normal. 71, 61, 60, 60, 71, 62, 66, 70, 71, 63, 63, 58 What can be concluded at the the αα = 0.05 level of significance level of significance? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: H0:H0: ? μ p Select an answer > < = ≠ H1:H1: ? p μ Select an answer < > = ≠ The test statistic ? z t = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? ≤ > αα Based on this, we should Select an answer fail to reject accept reject the null hypothesis. Thus, the final conclusion is that ... The data suggest the…What is the observed value? What is the p-value? What is the rejection region?Find the critical value(s) and rejection region(s) for the indicated t-test, level of significance α,and sample size n. Right-tailed test, α=0.01, n=25 Critical value? Determine the rejection regions?
- Meth Barie's ice cream shop wants to decide whether to introduce a new ice cream flavor. They randomly selected 15 customers at their downtown Denton location to rate this new flavor. The rating is on a scale of 1 to 5, with 1 being 'not interested' and 5 being 'strongly interested'. Meth Barie's will approve the new flavor if the true mean rating is over 4.0. What is the rejection region for testing at the 0.1 level of significance?(The output processed data is in the picture below) A company has four branch offices. At each branch office, the research was carried out using a random sample, then the data was processed using ANOVA with the following results: Based on the results of data processing, answer the following questions: a. What is the number of samples (N) used in the study?b. State the value for F-countc. Using the significance level or the Alpha (α) value 4%, test the hypotheses in the study and provide the conclusion.d. How do you think the conclusions of the research are?In a completely randomized design, seven experimental units were used for each of the five levels of the factor. Complete the following ANOVA table. If your answer is zero enter "0". F p-value (to 4 decimals) Source of Sum of Degrees of Mean Square (to 2 decimals) Variation Squares Freedom (to 2 decimals) Treatments 340 Error Total 400 The p-value is - Select your answer Select your answer less than 0.01 between 0.01 and 0.025 between 0.025 and 0.05 between 0.05 and 0.10 greater than 0.10 CS Scanned with CamScanner
- The student population at the state college is made up of 60% females and 40% males. The college theater department recently staged a production of a modern musical. A researcher recorded the gender of each student entering the theater and found a total of 37 females and 18 males. Is the gender distribution for theater goers significantly different from the distribution for the general college? Test at the .05 level of significance. Chi-Square Distribution Degrees of Freedom = 16 0123456789101112131415161718192021222324252627282930Χ² χ² critical value = (to three decimal places) χ² = (to two decimal places) Conclusion: Fail to reject the null hypothesis; the distribution of gender for theater goers is not significantly different from that of the general college. Fail to reject the null hypothesis; the distribution of gender for theater goers is significantly different from that of the general college. Reject…I need your help. Thank you so much!Independent random samples of households in the 5 U.S. regions yielded the data on last year’s energy consumption(Kilowatts). At the 5% significance level, do the data provides sufficient evidence to conclude that a difference exists in last year’s mean energy consumption by households among the 5 U.S. regions? ANOVA Test Northeast: 15, 10, 13, 14, 13 Midwest: 17, 12, 18, 13, 15, 12 Southeast: 11, 7, 9, 13 West East: 10, 13, 8, 7, 9 East coast: 12, 18, 10, 8 Alaska: 15, 14, 13, 16 a)State null and alternative hypothesis b)Test Statistics c)P-value d) Conclusion
- What is the observed value? What is the p-value? What is the rejection region?Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use a significance level of 0.05 to test the claim. One-way ANOVA: Source DF SS MS F P Size 3 13.500 4.500 5.17 0.011 Error 16 13.925 0.870 Total 19 27.425 can you show how you worked it out pleaseFind the critical value(s) and rejection region(s) for the indicated t-test, level of significance a, and sample size n. Right-tailed test, a=0.10, n=19.