1) Option - a) True
Because in an independent sample t-test the two data groups are independent.
2) Option - b) False
Because in paired - samples t-test the two data sets are not independent.
3) Option - b) False
Because if the P-value > 0.05, the null hypothesis will not be rejected. So the differences between means is not significant.
Question 1 (1 point) When we compute an independent-samples t-test, we are looking to see if...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
QUESTION 11 You run an independent samples t-test between two groups, and find a t-statistic of t=1.67. Is this sufficient to reject the null hypothesis? Assume α=0.05 and a one-sided test. Yes, > 1.67 is sufficient to reject the null. No, > 1.67 is not sufficient to reject the null. Not enough information. 2 points QUESTION 12 In a dependent samples t-test, the sample sizes must be equal. True False 2 points QUESTION 13 In an independent samples...
Problem 5. (20 points) We have k independent samples from normal distributions with the same variances. We want to test the global hypothesis that all population means are the same. We decided to bypass the ANOVA step and carry out t-tests to assess the differences between all pairs of means. Find the type I error rate for the global test (at alpha level of 0.05) if we use alpha level of 0.05 for each t-test (this shows why adjustments like...
A between-subject design is used when we are interested in looking at the differences between one group, with the dependent variable measured two or more times, once after each independent variable manipulation. a) True b) False
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 0.2. What is true of the two sample means? The distributions of the two sample means have a very small overlap. The two sample means are 0.2 standard deviations apart. The two samples means are not significantly different. The two samples do not likely come from the same distribution.
A consultant who gives day tong seminars is looking to see if his audience members tend to be more alert at some points during the seminar than at others. Before one day-long seminar, he seected 13 audience members at random. At each of five set points during the seminar, each of these 13 audience members was asked to give a rating (on a scale from 0 to 100) of her alertness at that point. Thus, each audience member gave five...
* (½ point) The Pearson Chi-square test is used to test hypotheses about what? Differences in proportions between two groups Differences in proportions between more than two groups Association between two categorical variables All of the above * (½ point) The paired t test is used to test hypotheses about what? Differences in proportions between two groups Differences in means between individuals Means of differences within individuals All of the above * (½ point) If one performs four hypothesis tests...
Considering the differences between a one-tailed and two-tailed independent samples t-test, using the same data set, which of the following is NOT true: A. the calculated t statistic will be the same for both B. an F-test of variances is required in both cases C. the d.f. will be the same for both tests D. we should select different values for these tests
After conducting an independent samples t-test, a researcher finds that the 95% confidence interval estimating the difference between the treatment group and the control group is 2.37 ± 1.85. Which of the following is definitely true? Choose one of the 3 the choices. A. The effect size of the comparison between groups is 3.7. B. The mean of the treatment group is 2.37. C. The difference between groups is significant.
Question 1 (1 point) Where t-tests only allow the comparison of 2 groups at a time, ANOVA will analyze the variance among three or more groups. Question 1 options: a) True b) False Question 2 (1 point) There is no effect on error rate whether we run one ANOVA with post hoc tests or multiple t-tests. Question 2 options: a) True b) False Question 3 (1 point) The F-Ratio is calculated by taking the ratio of variance between two groups...