Discuss how the results of the homogeneity of variance test are related to choice of
t-test formula (pooled variances or separate variances).
Discuss how the results of the homogeneity of variance test are related to choice of ...
Levene's test for homogeneity of variance meets the assumption of equal variances in ANOVA when the test is statistically non-significant, that is when sig. value in SPSS output is more than 0.05 Question 18 options: True False
rowan.instructure.com Question 3 0.5 pts Which of the following are assumptions of the independent samples t-test? Skewed population Sample size over 30 Homogeneity of variance Related samples Question 4 0.5 pts What is the term called in an independent samples t-test that averages together the variances of the two samples? Mean variance Average variance Standard error of the difference Pooled variance Question 5 0.5 pts How is the standard error of the difference (used in independent samples t-tests) different from...
We already know that when the homogeneity of variances assumption is violated in Independent-Samples t-Test you rely on the Levene's Test. What is the test (or ratio) that we fall on when the homogeneity of variances assumption is violated in ANOVA? In addition to theoretical understanding, through your explanation of this topic you should show an understanding of the practical use of it in SPSS as well.
A significant F test means: a. Homogeneity of variance b. Unequal groups c. The researcher needs to reduce p-value d. Data transformation is not necessary
If you are comparing two samples (each sample has 20 observations), which test will give you the most conservative outcome? A. the t-test with separate variances B. all of the tests should give you the same outcome since the sample does not change C. the Z test D. the pooled variance t-test
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose and why? Make sure to be specific and include what information you get from each and what information you don't get if you use one over the other. Options Two sample T summary hypothesis test: : Mean of Population 1...
Classwork 12.2 Test for Independence and Homogeneity of Proportion 1. The contingency table below shows the results of a random sample of 200 registered voters that was conducted to see whether their opinions on a bill are related to their party affiliation. Test the claim of independence. Party Opinion Approve Disapprove No Opinion 42 Republican Democrat Independent 50
t-test: two-sample assuming equal variances Subject ID Height Mean 9.9 68.85 Variance 39.0421053 35.0815789 Observations 20 20 Pooled Variance 37.0618421 Hypothesized Mean Difference 0 df 38 t Stat -30.621066 P(T<=t) one-tail 1.0856E-28 t Critical one-tail 1.68595446 P(T<=t) two-tail 2.1711E-28 t Critical two-tail 2.02439416 From your results, please report the following: Variable 1 Mean: Variable 2 Mean: Two-tailed p-value: Is your p-value significant? (alpha=0.05) If your results are significant/not significant, what can you conclude from your data? (i.e. is there a...
How do I write the results of this t-test out in a statsically
way ?
$120,000 $75,000 t-Test: Two-Sample Assuming Unequal Variances Mean College Degree 131233.3333 1795633333 30 High School Degree (Only) 60966.66667 582171264.4 Variance Observations Hypothesized Mean Difference df 46 t Stat P(T<=t) one-tail t Critical one-tail PIT<=t) two-tail t Critical two-tail 7.892632799 2.1299E-10 1.678660414 4.2598E-10 2.012895599
t-Test: Two-Sample Assuming Equal Variances Variable 1 Variable 2 Mean 12.89795918 17.66666667 Variance 161.2185374 567.8266667 Observations 49 51 Pooled Variance 368.6716646 Hypothesized Mean Difference 0 Df 98 t Stat -1.241549191 P(T<=t) one-tail 0.108683158 t Critical one-tail 1.660551217 P(T<=t) two-tail 0.217366316 t Critical two-tail 1.984467455 Is there a significant difference between the two sample means? If you answer, “yes,” what is your reasoning? If you answer, “no,” what is your reasoning? Please state the conclusion, or your interpretation of the results in terms...