Which of the following is the best decision and conclusion based on the result below? H,: p = 0.10 Ha:p + 0.10 Critical Value: +1.645 Computed Test Statistics: z = 5.61 O a. Since the computed test statistics is less than the critical value, do not reject Ho. Therefore, we conclude that at 0.10 level of significance, there is enough evidence that the population proportion is different from 10%. O b. Since the computed test statistics is less than the critical value, do not reject Ho. Therefore, we conclude that at 0.10evel of significance, there is enough evidence that the population proportion is different from 10%. O c. Since the computed test statistics is greater than the critical value, reject Ho. Therefore, we conclude that at 0.10 level of significance, there is enough evidence that the population proportion is different from 10%. O d. Since the computed test statistics is less than the critical value, reject Ho. Therefore, we conclude that at 0.10 level of significance, there is enough evidence that the population proportion is different from 10%.

1. What is the standardized test statistic? t = ___. 2. What is/are the critical value(s)?

You wish to test the following claim (Ha) at a significance level of a = 0.001. H.:µ1 = µ2 Ha:µ1 # µ2 You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal (So use the "pool" option). You obtain the following two samples of data. Sample #1 Sample #2 86.4 60.5 63.3 93.5 94.6 61.1 99.2 55.9 85.8 107 88.9 68.8 88.3 61.9 78.8 59.2 103.8 99.7 74.3 72.5 76.5 62 70.5 80.7 80.2 59.2 64.3 107 89.3 113.2 48.5 95.2 72.1 76.1 115.5 75.1 97.6 88.4 96.4 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? For this calculation, use the P-value reported from the "2-sample t- test" from the technology you are using. (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a greater than a This test statistic leads…

The following table shows the results of a survey focused on alcohol use among teen girls.   Is there a significant relationship between race and trying alcohol among teen girls?   Assume race is the independent variable.  Add appropriate percentages to the table.    a. Write one sentence describing the pattern you see, using specific percentages.   b. State the null and research hypotheses   c. Calculate the appropriate test statistic.   d. What is the critical value at which p<.05?   e. What do you conclude?

The local labor market for the XYZ Company is 75% white. The HR Manager for the XYZ Company wants to see whether her company is significantly more or less white than the local labor market. What statistical test should she use to analyze the data? a. Factorial ANOVA b. Chi Square Goodness of Fit Test c. Repeated Measures ANOVA d. Independent Samples t-test e. One sample t-test

Independent random samples of 17 sophomores and 13 juniors attending a large university yield the following data on grade point averages:                                  sophomores                            juniors       x bar                                  2.84                                      2.75        n                                        17                                            13         s                                     0.52                                      0.31 Add the 5% significance level, does the data provide sufficient evidence to conclude that the mean GPAs of sophomores at the University are better than the juniors? 1. choose the correct parameter for the problem a. Mu1: the average GPAs of all sophomores attending a large university ; Mu2: the average GPAs of all juniors attending a large university b. All sophomores attending a large university; all juniors attending a large university c. The average GPA of all students attending a large…

For a repeated –measures study comparing three treatment conditions with a sample n =4 participants, the participant totals or P values are 4, 6, 9 and 7. What is the value for SS between subjects?    Accept the F ratio at .05 but reject it at .01

You wish to test the following claim (Ha) at a significance level of a = 0.01. H₂:μ₁ = μ₂ Ha:μι > με You obtain the following two samples of data. Sample #1 Sample #2 60 50.1 91.5 89.8 56 44.8 85.6 93.4 58.4 83.8 106.9 73.9 44.8 78.1 70.8 37.7 63.5 82.7 71.7 34.7 90.6 67.7 66.8 61.6 65 65.9 77.6 61.1 111.7 106.9 51.8 88.3 69 80.5 78.1 62.6 99.7 64.5 67.2 52.6 71.2 75.3 76.2 96.8 70.8 49.2 46.1 111.7 51.8 The p-value is... mlm What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = 66.2 63.3 60 63.1 61.3 75 62.3 63.3 69.4 57.9 71.2 68.4 74.7 70.6 65.1 68.5 75.8 78.4 73.1 58.6 59.1 66 71.5 67.2 67.3 69 70.9 68.9 73.1 64.4 66.9 71.2 65.6 68.7 60.7 65.3 76.3 74.7 70.1 65.6 59.6 68.2 67.2 69.7 68.9 65.4 66.2 65.6 65.1 62.5 0.7 60.4 68.9 76.8 65.6 76.3 64.7 55.6 71.7 69.7 64.2 72.9 What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to…

a study of store checkout​ scanners, 1234 items were checked and 23   checked items were overcharges. Use a 0.05 significance level to test the claim that with​ scanners, 1% of sales are overchanrges.​ (Before scanners were​ used, the overcharge rate was estimated to be about​ 1%). a. Define the parameter     A. mu   ​= The proportion of all sales that are undercharges   B. p​ = The proportion of all sales that are incorrect   C. p​ = The proportion of all sales that are overcharges   D. mu   ​= The mean number of sales that are overcharges   b. State the null and alternative hypotheses     A. Upper H 0 : mu not equals 0.01 Upper H 1 : mu equals 0.01     B. Upper H 0 : p greater than 0.01 Upper H 1 : p equals 0.01     C. Upper H 0 : p equals 0.01 Upper H 1 : p not equals 0.01     D. Upper H 0 : p equals 23    Upper H 1 : p less than 23     c. Calculate the sample proportion ModifyingAbove p…

Here is an ANOVA Table: Source SS d.f. MS F p-value Among groups 1000 4       Error 3000 56       Total             How many groups were in the study? How many subjects were in the study? Complete the ANOVA table. What is the critical value at 0.01? What conclusion is appropriate?