1. The mean sums of squares between groups (MSB) is a measure of. . .Group of answer choices
a. variability between the groups casued by the independent variable
b. variability between groups caused by random chance
c. total variabiltiy
d. variability between the groups caused by the independent variable and random chance
2. The mean sums of squares within groups (MSW) is a measure of. . .Group of answer choices
a. variability in the experiement caused by random chance
b. variability in the experiment caused by the independent variable
c. variability in the experiment caused by the experimenter
d. variability in the experiment caused by the dependent variable
3. With a 2 x 2 factorial ANOVA, with Factor A as one independent variable and Factor B as another independent variable, what three things are you interested in measuring? Briefly describe each of the three things.
Ans 1-(a) is correct
Ans 2-(a) is correct
Ans 3 - 2^2 factorial experiment we want to find the main effect and interaction effect and in factorial experiment we study more than one factor at different levels simultaneously
1. The mean sums of squares between groups (MSB) is a measure of. . .Group of...
In a one-factor ANOVA for independent samples, the mean differences between-groups caused by a treatment effect contribute to which of the following variances (i.e., Mean Sum of Squares, MS0? A. Both between-treatments variance and within-treatments variance B. Between-treatments variance but not within-treatments variance C. Within-treatments variance but not between-treatments variance D. None of the above.
Sample Mean Sum of Squares Group Preparing to speak 96.8 23,655.2400 Speaking 101.5 21,099.8900 Listening 106.4 27,155.2500 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation SS df MS F Between Treatments 6,913.01 2 3,456.51 21.49 Within Treatments 71,910.38 447 160.87 Total 78,823.39 449 These findings are significant at a .05, which tells you that the difference is very unlikely to...
1. In analysis of variance, MS between-groups provides a measure of the total variability for the set of N scores, standard deviation, the overall mean for the set of N scores, differences among treatment means 2. An independent-measures research study compares three treatment conditions using a sample of n = 5 in each treatment. For this study, the three totals are, T1 = 5, T2 = 10, and T3 = 15. What value would be obtained for the grand mean,...
1. Given the following analysis of variance table, compute mean squares for between groups and within groups. Compute the Fratio and test the hypothesis that the group means are equal. Do thefollowing test at 0.05 significance level (a = 0.05) Source of Variation Between groups Within groups Total Sum of Squares 1,000 750 1,750 Degrees of Freedom 4 115 19
Question 21 You wish to co participants and administer a different test to each group. Which analysis should you use? mpare the results from three different personality tests. You get three groups of O two-way ANOVA 。x' goodness-of-fit t test one-way ANOVA Question 22 When we say that a result is statistically significant, we mean that we have rejected the alternative hypothesis a strong relationship was shown. O the results were too unlikely to have occurred by chance if the...
Question Help 11.1.3 An experiment has a single factor with three groups and two values in each group. In determining the among-group variation, there are 2 degrees of freedom In determining the within-group variation, there are 3 degrees of freedom In determining the total variation, there are 5 degrees of freedom. Also, note that SSA 40, SSW 12, SST-52, MSA 20, MSW 4, and FgTAT 5. Complete parts (a) through (d) Click here to view page 1 of the Ftable...
An experiment has a single factor with three groups and five values in each group. In determining the among-group variation, there are 2 degrees of freedom. In determining the within-group variation, there are 12 degrees of freedom. In determining the total variation, there are 14 degrees of freedom. Also, note that SSA 36, SSW 108, SST 144, MSA = 18, MSW 9, and FSTAT = 2. Complete parts (a) through (d). Click here to view page 1 of the F...
We want to determine if there are differences between three age groups on their mean cholesterol scores. We compare a group of participants who are young adults to a group of middle aged adults and finally a group of older adults to see if there are differences in cholesterol scores by age group. What is the independent and the dependent variables and the level of data for each variable?
The ANOVA summary table for an experiment with six groups, with five values in each group, is shown to the right. Complete parts (a) through (d) below. Source Degrees of Freedom Sum of Squares Mean Square (Variance) F Among groups C −1 =55 SSA=150 MSA =3030 FSTAT =3.003.00 Within groups n- c = 2424 SSW =240 MSW =1010 Total N −1 =2929 SST = 390 a. At the 0.05 level of significance, state the decision rule...
1. An analysis of variance with one dependent and one independent variable is referred to as: A) one-way ANOVA B) two-way ANOVA C) many-way ANOVA D) correlation 3. What is the null hypothesis when using ANOVA? A) B) C) D) 4. What is the research hypothesis when using ANOVA procedures? A) all of the group means are equal B) all of the group means are significantly different from all other group means C) at least one of the group means is significantly different from...