Extras

Question 1

If the t statistic does not fall in the critical region we

Answer 1

do not reject the null hypothesis (accept it)

Question 2

In a hypothesis test for ANOVA you are interested in the significance of the difference between

Answer 2

population means

Question 3

What is the null hypothesis for ANOVA

Answer 3

H0= all population means are equal

Question 4

What is the alternative hypothesis for ANOVA

Answer 4

H1= at least one of the population means is different

Question 5

A higher f-ratio indicates a _____ variance between categories rather them within categories. This proves against that there is ____ between the means

Answer 5

larger

no difference

Question 6

What is the relationship between the coefficient of determination and the proportion of variance explained by the relationship between two variabilities

Answer 6

The coefficient of determination is the proportion of variation explained by the relationship between two variabilities

Question 7

A variable whose value is held constant so that the researcher can explore the relationship between two other variables

Answer 7

control variable

Question 8

Each statisticsl method that uses the least square method to produce an equation to predict the z-score of one variable using the Z score of two or more variables

Answer 8

Standardized multiple regression

Question 9

The Y variable and a multiple regression whose value is being predicted by two or more independent X variables

Answer 9

Dependent variable

Question 10

Partial slopes computed in a standardized multiple regression the slopes can be compared to make statements about which dependent variables are more influential on the independent variable

Answer 10

Beta weights

Question 11

A value value that describes a percentage of variability in the dependent variable that is explained by two or more independent variables

Answer 11

Coefficient of multiple determination

Question 12

A measure of the relationship between two variables without consideration of any other variables

Answer 12

Zero order correlation

Question 13

A statistical method that uses the least squares method to produce an equation to predict the value of one variable using the values of two or more other other variables

Answer 13

Multiple regression

Question 14

A concept use in multiple regression and partial correlation to indicate that the effect of one independent variable on the dependent variable is different, depending on the the value of another independent variable

Answer 14

Interaction

Question 15

A value that describes the correlation between the dependent variable and two are more independent variables

Answer 15

Multiple correlation coefficient

Question 16

A concept used when interpreting partial correlation coefficient to indicate that a control variable does not appear to affect the relationship between two other variables

Answer 16

Direct relationship

Question 17

A statistical method that measures the relationship between two variables while controlling for a third

Answer 17

Partial correlation

Question 18

One of the X variables in a multiple regression equation used to predict the dependent Y variable

Answer 18

Independent variable

Question 19

A concept used when interpreting partial correlation coefficient to indicate that a control variable appears to explain the relationship between two or more variables completely

Answer 19

Spurious or intervening relationship

Question 20

A value that is computed for each independent variable in a multiple regression equation and is used in the equation as a multiplier to the value of the corresponding independent variable

Answer 20

Partial slope