In a two-way ANOVA, the main effect of a factor is the A. extent to which the factor produces dependent variable scores different from those the other factor produced. B. effect that changing the levels of the factor has on the dependent variable, taking into account all other factors in the study. C. effect that changing the levels of the factor has on the dependent variable, ignoring all other factors in the study. D. extent to which its effect depends on the other factor.

Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10   Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the decision for this hypothesis test?  Reject the null because the absolute value of the test statistic is greater than the critical value and the p-value is less than alpha.  Fail to reject the null because the absolute value of the test statistic is less than the critical value and the p-value is greater than alpha.  Reject the null because the absolute value of the test statistic is less than the critical value and the p-value is less than alpha.  Fail to reject the null because the absolute value of the test statistic is greater than the…

Which of the following are the names commonly used for the variable Y in sample regression?   1. covariate variable   2. independent variable   3. predictor variable   4. Explained variable   5. Response variable   6. explanatory variable   7. Predicted variable   8. Dependent variable   9. Criterion variable

Use the following information to answer the question.  A researcher wants to study different messaging platforms by collecting data on 40 individuals. Half of the individuals only use iMessage while the other half only use What's App. For the individuals who only used iMessage, they sent an average of 280 messages with a sample variance of 170 in the past week. For the individuals who only used What's App, they sent an average of 295 messages with a sample variance of 182 in the past week. Determine if there is a significant difference between the average messages sent between the two groups of individuals. Use a significance level of 1%. What is the null hypothesis? Group of answer choices A. The iMessage group on average sent more messages than the What's App group.   B. The iMessage group on average sent less messages than the What's App group.   C. There is no difference in the average number of messages sent between the two groups.   D. There is a difference in the average…

A school psychologist is interested in whether or not teachers affect the anxiety scores among students taking the Statistics exam. The data below are the standardized anxiety test scores for students with the three different teachers. Teacher’s Name Ms. San Pedro Ms. San Juan Ms. San Jose 8 23 22 10 14 18 12 12 14 11 8 22 13 15 22 15 16 10 16 14 11 17 19 9 9 10   10     13     Perform an analysis of variance at the 0.05 level of significance.

Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10   Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the test statistic for this hypothesis test?  -0.532  1.945  0.0127  -3.196

State the hypotheses for each of the three separate tests included in the two-factor ANOVA.

What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?

A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions.     CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600       CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400   1. Compute the appropriate measure of association for those who were less than age 50.  2. Compute the appropriate measure of association for those who were older or equal to age 50.  3. Compute the crude measure of association?  4. List three attributes that age must satisfy before it could…

A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. What is the central tendency for the variable perseverance among teenage girls? What is the most common value for the variable perseverance among teenage girls? How spread out are the values for perseverance amoung teenage girls? Do all teenage girls have the same amount of perseverance?