If you have two groups to compare, and you have categorical data, you should use

Question

If you have two groups to compare, and you have categorical data, you should use the __________ statistic.

Question 31 options:

T-test

Pearson “r”

Chi Square

ANOVA or F Test

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Question 32

What statistical test would tell if there were a significant difference in the effects attributed to three or more levels of an independent variable?

Question 32 options:

T-test of the differences

Chi Square

ANOVA

Correlation "r"

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Question 33

If you have three or more levels of a (measurement scale) independent variable to compare, the __________ statistic can be used.

Question 33 options:

Correlation Coefficient

Chi Square

One Sample T-Test

ANOVA

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Question 34

Comparing the gas mileage of six Lincoln Continentals and six hybrid electric cars in a statistical comparison calls for a

Question 34 options:

two tailed test (you are uncertain of the predicted direction of the outcome)

one tailed test (you should be able to predict the direction of the outcome)

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Question 35

If alpha is .05:

Question 35 options:

The probability of a Type II error is .05

The probability of a Type I error is .05

The probability of a Type II error is .50

The probability of a Type I error is .95

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Question 36

Which phrase goes with "NOT in the rejection region"?

Question 36 options:

Reject the null hypothesis

Calculated probability is small

Fail to reject the null hypothesis

A significant finding

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Question 37

A regression line that moves from lower left to upper right in the scatter plot is indicative of a _____________ slope.

Question 37 options:

weak

strong

negative

positive

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Question 38

If the relationship of two variables is curvilinear, we would expect the correlation coefficient “r” to be:

Question 38 options:

Close to -1.00

Close to 0.00

Very high, perhaps r = 6.66

Close to +1.00

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Question 39

30 – 14 + 1 =

Question 39 options:

45

30   +   -14   +   1

30   +   15

55

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Question 40

3 + -1(12 – 4) =

Question 40 options:

3 + -12   + 4

3 + -12   + -4

19

-13

a)

T-test

b)

Pearson “r”

c)

Chi Square

d)

ANOVA or F Test

Explanation / Answer

AS PER CHEGG POLICIES I AM ANSWERING 4 PARTS

31)

Chi Square

32)

ANOVA

34)

A) two tailed test (you are uncertain of the predicted direction of the outcome)

35)

B)The probability of a Type I error is .05

36)

C)Fail to reject the null hypothesis

37)

D) positive

38)

B)30   +   -14   +   1

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