In: Math
1) The types of variances occur in our data: Between and within groups.
2) test statistic is used to test the hypothesis in ANOVA is F test (score).
3) Only 1 continuous dependent variables must you have for an ANOVA to be conducted.
4) Assumptions must be met to use an ANOVA are (a) There is homogeneity of variance
b)Random sampling of cases must have taken place.
c) There is only one dependent variable
5)Levene's test must be Non-significant at or above sig (p) > 0.05
6) Two pieces of information on ANOVA output will help decide whether to reject (or failure to reject) the null hypothesis the Sig. column and F-value column of the ANOVA table.
7) Post Hoc use to determine whether significant differences were observed between any or all levels of your independent variable.
8) P value
F statistic
Degrees of freedom
9) One dependent variables are there in a two-way ANOVA.
10)Analysis of variance is a statistical method of finding differences in means of several populations.
11) The between group sum of squares measures the variability due to individual differences, experimental error, and effect of treatment.
12) the following is an assumption of one-way ANOVA comparing samples from three or more experimental treatmentsare
Dependent variable(s) is normally distributed, the samples are randomly selected and are independent from all other samples and Groups have equal variances.
13) As variability due to chance (SS within) decreases, the value of F increases.
14) the observed value of F-score A value between 0.0 and 1.0.
15) A marketing manager wishes to test for differences in mean sales for three stores during holiday season. The significance level for the test will be 0.05. The null hypothesis for this analysis is Ho: Mean 1= Mean 2= Mean 3