23. State whether each of the following related-samples t tests is significant for a two-tailed test at a .05 level of significance.
t(30) = 3.220
t(12) = 2.346
t(18) = 2.034
t(60) = 1.985
(1) t(30) = 3.220
The critical value at 0.05 level of significance and 30 df = 2.042
Conclusion: The value of t is greater than critical value of t. Hence we can conclude that t-test is significant.
(2) t(12) = 2.346
The critical value at 0.05 level of significance and 12 df = 2.179
Conclusion: The value of t is greater than critical value of t. Hence we can conclude that t-test is significant.
(3) t(18) = 2.034
The critical value at 0.05 level of significance and 18 df = 2.101
Conclusion: The value of t is less than critical value of t. Hence we can conclude that t-test is not significant.
(4) t(60) = 1.985
The critical value at 0.05 level of significance and 60 df = 2.000
Conclusion: The value of t is less than critical value of t. Hence we can conclude that it is not significant.
23. State whether each of the following related-samples t tests is significant for a two-tailed test...
State whether each of the following related samples t-tests is significant for a two-tailed test at a 0.05 level of significance. (a) t(30) = 3.510 Yes, the test is significant. No, the test is not significant. (b) t(16) = 2.565 Yes, the test is significant. No, the test is not significant. (c) t(12) = 2.046 Yes, the test is significant. No, the test is not significant. (d) t(60) = 1.975 Yes, the test is significant. No, the test is not...
For each example, state whether the one-sample, the two-independent-sample, or the related samples t-test is most appropriate. If it is a related samples t-test, indicate whether the test is a repeated measures design or a matched-pairs design. 1) A researcher matches right-handed and left-handed siblings to test whether right-handed siblings express greater emotional intelligence than left-handed siblings. A. one-sample t-test B. two-independent sample t-test C. related samples t-test using the repeated measures design D. related samples t-test using the matched-pairs...
Hypothesis Problems For the following hypothesis tests: a. State the null (Ho) and alternative (Hi) hypotheses b. State the type of test (right-tailed, left-tailed, or two-tailed) c. State the multiplier for an a (level of significance) of .05. The Chamber of Commerce states that only 15% of Boston tourists stay more than 2 days. A new chamber employee feels that the percentage staying more than 2 days is greater than 15%, and plans to sample a set of tourists to...
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
Two samples of n = 5 subjects were analyzed with an independent-samples t-test, producing a t = 2.295. a) What is the tcrit ? b) Does this indicate a significant difference in a two-tailed test with α = .05?
Two samples of n = 5 subjects were analyzed with an independent-samples t-test, producing a t = 2.295. a) What is the tcrit ? b) Does this indicate a significant difference in a two-tailed test with α = .05?
two samples of n=5 subjects were analyzed with an independent -samples t-test, producing a t=2.295 does this indicate a significant difference in a two tailed test with alpha= .05?
3 and 4
3. Indicate df for the following statistical tests: a. One sample t test b. Independent samples t test (same N's in both groups) c. Independent samples t test (different N's) d. Paired samples t test e. Testing whether correlation coefficient is different from 0. 4. Assume you have two independent samples that you wish to compare. One sample has an N of 14 and the other has an N of 10. For a = .05, two tailed...
Using the following data set, conduct an independent samples t-test. Use a= 0.05 and a two-tailed test. Sample 1: 14, 14, 13, 13, 10, 12, 14, 15, 17 Sample 2: 15, 11, 15, 13, 14, 13, 14, 14, 15 1. hypotheses: null and alternative 2. t-critical value; shade of regions of rejection 3. t-obtain 4. conclusion 5. decide if significant 6. compute for confidence interval is significant
* For large samples one sample t-tests (n >120) use critical t scores of ±1.96 (for 95% confidence level two tailed test) or ±1.65 (for 95% confidence level one tailed test). * For small samples (n<120) use critical t score obtained from t-distribution table. You will need to calculate degrees of freedom, which is simply the sample size minus 1 (df = n-1) and use an alpha value of .05. * For comparing means between two samples (regardless of sample...