The power of the slope t-test is NOT determined by ___________________.
none of the options
direction of slope
sample size
The power of the slope t-test is NOT determined by ___________________. none of the options direction...
The power of the slope t-test is NOT determined by ___________________. none of the options effect size direction of slope sample size
12) Which of the following statements is false regarding the t-test for the regression slope? A. The degrees of freedom for the t test statistic are based on the sample size. -0 is the null hypothesis Rejecting the null hypothesis indicates that there is no significant linear relationship between the two variables. C. None of the above.
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2.12 The t-test for slope as a function of the correlation Show that the t-statistic for testing the slope = 0 can be written as a function of sample size and the sample correlation rry, (2.26)
Factors Affecting Power in the t Test After completing this week's assigned readings, discuss one of the following questions: What things can a researcher do to try to increase the magnitude of the d effect size? Suppose that you can increase the d effect size while holding group sizes n1 and n2 constant. How will an increase in d influence the magnitude of t ? Several factors influence statistical power for a one-sample t test. How does statistical power change...
The t-test for the hypothesis of a zero slope requires normality while the F-test for a zero slope does not? A.The statement is false because t-test for zero slope and F-test agree numerically. B.The statement is false because t-test for zero slope and F-test are functionally related C.The statement is true
The test statistic for a related samples t-test is computed using a single sample of Options: Original data Standardized scores Raw scores Difference scores
In a lower tail hypothesis test situation, the p-value is determined to be .2. If the sample size for this test is 51, the t statistic has a value of a. -.849. b. 1.299. c. -1.299. d. .849.
The power of MANOVA to detect an effect depends on: Question 20 options: a) A combination of the correlation between dependent variables and the effect size to be detected. b) A combination of the correlation between independent variables and the effect size to be detected. c) A combination of the correlation between independent and dependent variables. d) None of these
Question 2In one tailed T-test, if the test statistics is \(\mathrm{t}\) and \(\mathrm{t}_{0}\) is the t-value under null hypothesis, then \(\mathrm{p}\) -value \(=\operatorname{Pr}\left(\mathrm{t}<\mathrm{t}_{0} \mid\right.\) null hypothesis is true) if \(\mathrm{t}_{0}>0\) and p-value \(=\operatorname{Pr}\left(t>t_{0} \mid\right.\) null hypothesis is true) if \(t_{0}<0\).Question 3In a recent twin study from researchers at King's College London, the researchers wanted to first test whether identical twins show statistically significantly different thigh muscular power. To test this, they recruited 20 identical female twins. For this analysis,one-way ANOVA...
What is an advantage of using a related-samples t-test over an independent-samples t-test? There is a carry-over effect with the related-samples t-test .None of the options. The related-samples t-test needs less participants. There is a maturation effect in the related-samples t-test.