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:
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Levene's test for homogeneity of variance meets the assumption of equal variances in ANOVA when the...
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.
QUESTION 12 Using the SPSS output below, which of the following statements is correct? Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Mean F Sig t df Sig. (2- tailed) Std. Error Difference Difference Lower Upper Equal variances assumed 1.429 280 2.145 10 058 6.00000 2.79682 - 23171 12.23171 Equal variances not 2.145 0.461 050 6.00000 2.79082 - 28015 12.28015 assumed The assumption of homogeneity of variance was...
Violating the assumption of homogeneity of variance tends to increase the likelihood of committing a Type I error. Question 17 options: True False
please who can help with this question '. For the following questions, please refer to the SPS wing questions, please refer to the SPSS output file below. Use a .05 a. On average, how much would we expect one group to differ from ano we expect one group to differ from another by chance? (1 point) the assumption of homogeneity of variances satisfied? How did you test the assumption? (2 points) c. Is there a significant difference between groups on...
What is the null hypothesis for Levene’s Test for Equality of Variances? Tested at a .05 level of significance, the Levene’s F-test in the output shows that a.Means are significantly different b.Means are not significantly different c.Variances are significantly different d.Variances are not significantly different What is the null hypothesis to test the statement that the average amount of days spent doing homework is different for males and females? What is the alternative hypothesis to test the statement that the...
In ANOVA test, if the F test statistics is larger than or equal to the critical value, we should reject the null hypothesis. True False
Question 1: True or False (2 points each) a) ANOVA tests the null hypothesis that the sample means are all equal. b) A strong case for causation is made in an observational study. c) In rejecting the null-hypothesis, one can conclude that all the means are different from each other d) One-way ANOVA can be used only when there are fewer than five means to be compared. e) The null hypothesis for the Levene’s test for homogeneity of variance is...
Let’s test, with our student data, whether online students spend a different amount of time on their study plan than face-to-face students. Use an α=0.05. Do not assume population standard deviations are equal. Write the probability statement for your p-value with the correct. (Hint: Double check what the p-value given in the SPSS output is for, how many tails?) Make your decision. Draw conclusions. Using all of the previous Real World problems, write a brief description of what you have...
A one-way between-subjects ANOVA is conducted to test for mean differences between the levels of two or more factors. Question 18 options: True False
Scenario for 2-5: Research question: Is there a difference in the infant mortality rates of states above and below the mean income? Use the SPSS output below. Test the mean difference and the assumption of equal variances at the .05 level. Group Statistics N INCGROUP INFMORT Infant mortalit 1.00 below mean rate (per 1000 live births) 2.00 above moar 28 23 Mean 7.9464 6.7435 Std. Deviation 2.0224 1.1878 Std. Error Mean .3822 .2477 Levene's Test for Equality of Variances P-test...