ISDS 2001 Exam 2 Review Questions With Correct Detailed Answers Guaranteed Pass.

Analysis of Variance (ANOVA) - correct answer a statistical technique used to determine if differences exist between three of more population means The ANOVA test is a generalization of the - correct answer two-sample t tests with equal but unknown variances The ANOVA test is based on - correct answer F(df1,df2) distribution One-Way ANOVA Test - correct answer compares population means based on one categorical variable or factor One-way ANOVA tests are used for testing c population means under the following assumptions - correct answer 1. The populations are normally distributed 2. The population standard deviations are unknown by assuming equal 3. The samples are selected independently 4. Have to have equal variances Treatments - correct answer used to identify the c populations being examined Between-Treatments Variance - correct answer a measure of the variability between sample means Grand Mean - correct answer the sum of all observations in a data set divided by the total number of observations; denoted as x̄ Sum of Squares due to Treatments (SSTR) - correct answer a weighted sum of squared differences between the sample means and the overall mean of the data Mean Square Treatment (MSTR) - correct answer SSTR / c-1 Within-Treatments Variance - correct answer a measure of the variability within each sample Error Sum of Squares (SSE) - correct answer a measure of the degree of variability that exists even if all population means are the same Mean Square Error (MSE) - correct answer the average of the error (residual) sum of squares, where the residual is the difference between the observed and the predicted value of a variable The dependent variable is measured from - correct answer observations randomly selected from independent normal populations with equal variances If F statistic > F critical Value - correct answer reject H0 If p < a - correct answer reject H0 Total Sum of Squares (SST) - correct answer the sum of the squared differences of each observation from the grand mean Fisher's Least Significant Difference (LSD) - correct answer a test that determines which means significantly differ by computing all pairwise differences of the means Turkey's honestly significant difference (HSD) - correct answer a method that determines which means significantly differ by comparing all pairwise difference of the means Set up Factor B to control for differences that you expect, so - correct answer that you can easily detect differences due to factor A