Suppose we want to test that the average age of a The following table shows the Excel output for this test. Pstudent is not 27 years old. t-Test: Paired Two Sample for Means Score Dummy Mean 25.89474 Variance 5.43275 Observations Pearson Correlation Hypothesized Mean Difference 19 19 #DIV/O! 27 df 18 t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail -2.06696 0.02671 1.7341 0.05343 2.1009 Select the p-value for this test. 2.1009 O 0.05343 0.02671

what is homogeneity variance ? how does it influence students t-test and welch's t-test?

A homeless shelter program wants to know if receipt of job training program (yes, no) is related to program satisfaction (measured on a multi-item, Likert scale ).  What type of statistical test should be used?   Group of answer choices Independent t-test Dependent t-test ANOVA Correlation Analysis Chi Square

A test statistic for one of the tests in this unit is given, along with information about degrees of freedom. Give the p-value and indicate whether the results are significant at the 5% level. An analysis of variance test with F-statistic 8.71 and df -numerator 3 and df -denominator = 17 Round your answer to four decimal places. p-value

Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.

Define ADL or GLS: Bias versus variance?

Could please help interpret this SPSS output of a Independent sample t-test?

Which would be the appropriate way to test differences in proportions for more than two samples?     t-test if variance is unknown     z-test     paired t-test     F-test for equality of variances     cross-tabulation procedure to conduct a chi-square test

A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study?        independent-samples t-test     single-sample t-test     z-test for sample mean     related-samples t-test

Which of the following correctly represents the coefficient of determination in terms of the variance that is an output from the analysis of variance table? Select one. explained variance + unexplained variance total variance unexplained variance total variance total variance explained variance total variance