Explain under what conditions a researcher would use a One-Way Between-Subjects ANOVA.
Ans:
1)There should be simple random samples, one from each of populations or treatments .
2)The samples must be independent of each other means that the subjects in one group cannot be related in any way to subjects in a second group.
3)The all populations should be normally distributed.
4)The populations should have the same variance means that each treatment group has population variance σ2.
Explain under what conditions a researcher would use a One-Way Between-Subjects ANOVA.
What are the two variances being compared in the One-Way Between-Subjects ANOVA?
A researcher computes a one-way within-subjects ANOVA in which k = 3 and n = 10. What is the critical value for this test at a .05 level of significance? a. 3.16 b. 4.41 c. 3.55 d. 5.48
A researcher conducts a one-way within-subjects ANOVA in which k = 3 and n = 10. She computes SSBG = 120, SSE = 198, and SST = 518. What is the effect size for this test using w2?
A researcher conducts a one-way within-subjects ANOVA in which k = 3 and n = 10. She computes SSBG = 120, SSE = 198, and SST = 518. What is the effect size for this test using w2?
What is the major difference between a one-way ANOVA and a two-way ANOVA? 1)A two-way ANOVA has more power 2)A two-way ANOVA uses the same participants across conditions 3) A two-way ANOVA does not look at the interaction effects 4)None of the options
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
Under what conditions is the one-way ANOVA test equivalent to, worse, and better than the t-test?
Under what conditions is the one-way ANOVA test equivalent to, worst, and better than the t-test ?
Explain two - way ANOVA. What is the statistical information difference between this and a one way ANOVA.
A within-subjects design is to the whereas a between-subjects design is to the a. Repeated-measures ANOVA; One-way ANOVA. b. One-way ANOVA; Chi-square test for independence, c. One-way ANOVA; Repeated-measures ANOVA. d. Dependent samples t-test; Repeated-measures ANOVA