A researcher examined number of monthly meetings (2 or 4) on job satisfaction. If the t obtained for a correlated groups t-test was 2.50, df = 3, and the t critical = 3.182, what should s/he conclude?
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A researcher examined number of monthly meetings (2 or 4) on job satisfaction. If the t obtained for a
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- A researcher examined number of monthly meetings (2 or 4) on job satisfaction. If the t obtained for a correlated groups t-test was 2.50, df = 3, and the t critical = 2.353, what should s/he conclude?If you tested the same group of subjects under two different experimental conditions and accidentally used the t-test for independent groups in testing what would be the effect in the t-value computed?If the value of Cronbach’s alpha is 0.07, it means ___________; a. Research instrument is not reliable b. Research instrument is internally consistent c. Data is reliable d. Data is internally consistent
- As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. (4 pts. total) Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. a. Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r. b. If the sample had n = 25 participants, is the correlation significant? Again, use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Note- bolded quiz have already answered A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5-9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L.*8.31 What are the appropriate null and alternative hypotheses to compare the means of the two groups? *8.32 What is the appropriate test procedure for the hypotheses in Problem 8.31? *8.33 Carry out the test in Problem 8.32 using the criticalvalue method. *8.34 Provide a 95% CI for the true mean difference in FEV between 5- to 9-year-old children whose parents smoke and comparable children whose parents do not smoke. *8.35 Assuming…
- Suppose you will perform a test to determine whether there is sufficient evidence to support a claim of a linear correlation between two variables. Find the critical value(s) of r given that n = 20 and α = 0.05. Group of answer choices r = ±0.632 r = ±0.456 r = ±0.811 r = ±0.444If I have a sample of 20 people what is my T-threshold for a two-tail test and an alpha of 0.1 percent?what is the critical t-value for a right-tailed test when alpha = .025 and df = 12
- A survey of 90 recently delivered women on the rolls of a county welfare department revealed that 27 had a history of intrapartum or postpartum infection. Can we conclude that the population proportion with a history of intrapartum or postpartum infection is significantly less than or equal to 0.25? Let alpha = 0.05.A beer store wanted to test the difference on drinking habits if a younger group of 21-30 years old (n=8) to an older group of 50 to 60 years old (n=10). The store took a survey of beers per year each person had in both groups and found the following data: 21-30 group 50-60 group 50 35 17 64 25 39 88 75 53 61 62 89 36 45 29 35 29 78 State the hypotheses of the study.b. Find the critical t value for this study at an alpha level at α=.05.c. Compute the independent t testd. If significant, perform a percentage of variance test.e. State the results in APA format (numbers and words) and don’t forget to include all parts in the sentence and the direction of the results.The authors of this study report a Pearson correlation coefficient estimate of r = 0.23 with a p-value of <0.01. Interpret.