Which of the following is the error term (denominator) used to compute a t-value in an independent samples t-test.
Standard error of mean computed based on population standard deviation |
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Standard error of mean difference computed based on standard deviation of mean difference between the two sets of associated scores |
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Standard error of mean computed based on pooled standard deviation of the two samples |
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Standard error of mean computed based on sample standard deviation |
Any research question that can be answered by using a One-way Analysis of Variance (a.k.a., ANOVA, F test) can also be answered by using several t tests. However, several t tests should not be used because the probability of:
type I error is increased when using several t tests. |
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type I error is decreased when using several t tests. |
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type II error is increased when using several t tests. |
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type II error is decreased when using several t tests. |
i) In independent sample t-test ,we compare two means,
so the denominator of test statistics is standard error of means computed based on pooled standard deviation of the two samples.
#Answer: third option is correct
ii) we use one way ANOVA instead of several t -tests for reduce complexity & repeated work, also it have control over type 1 error
# Answer: first option is correct
type I error increases when using several t-tests
Which of the following is the error term (denominator) used to compute a t-value in an...
For the independent-measures t test, which of the following describes the estimated standard error of M1 - M2 (whose symbol is )? O The variance across all the data values when both samples are pooled together O A weighted average of the two sample variances (weighted by the sample sizes) O The difference between the standard deviations of the two samples O An estimate of the standard distance between the difference in sample means (M, - M2) and the difference...
For the independent measures ttast, which of the following describes the estimated standard error of the difference in sample means (whose symbolis )? The difference between the standard deviations of the two samples A weighted average of the two sample variances (weighted by the sample stres) An estimate of the standard distance between the difference in sample means (M. - Me) and the difference in the corresponding population means (Hi-Pa) The variance across all the data values when both samples...
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Which of the following is the best reason why one-way ANOVA should be used instead of running several t-tests when there are more than two experimental groups? A. Doing several t-tests means you might forget which variables you have compared B. t-tests and ANOVA require different levels of measurement for their dependent variable C. Performing several t-tests raises the probability of making at least one Type I error D. Performing several t-tests raises the probability of making at least one...
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when variances between two samples are not equal in a paired sample t test, the pooled variance must be computed and used 8n place of the estimated standard error. t or f
After observing statistically significant ANOVA results, Bonferroni-corrected inferences to determine which groups differ from each other require the following steps (select all that apply): o Select one or more: a. Compute the type I error rate allowable for each pairwise comparison in order to insure that the type I error rate across all comparisons does not exceed some pre-specified level b. Determine that the difference between a specific pair of groups is statistically significant if the t-test p-value is less...
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