Chapter 4 Multiple choice questions

. Create a data object containing the following numbers:
-9, 32, 1, -7, 25, 12, 4, 16
Use the t.test function to run a one sample t-test comparing the mean of these numbers to 0. What is the t-value?

t = 0.12

t = 1.78

t = 3.5

t = 1.4

. We can raise numbers to a power using the ^ symbol. So 2^2 means 2 squared, which returns the answer 4. You can also raise data objects to a power in the same way.
Using the values from question 1, conduct paired and unpaired t-tests to compare them with their squared values. Which answer best describes the outcome?

Both paired and unpaired tests were significant, but the paired test had a larger t-value

Both paired and unpaired tests were significant, but the unpaired test had a larger t-value

Neither the paired nor the unpaired test was significant

The paired test was significant, but the unpaired test was not

. Create a second data object as follows:
b <- c(13, -31, -1, -4, -26, 11, 0, 4)
What is the correlation between these numbers and the values from the question 1?

R = -0.74

R = 0.74

R = 0.11

R = -0.11

. Now use the cor.test function to assess whether the correlation is significant. What is the p-value?

p = 0.33

p = 0.15

p = 0.01

p = 0.04

. Download the data file for the multiple-choice questions for Chapter 4, and open it in R. Use the lm function to run a linear regression on the data in the regdata object, using the formula: DV ~ IV
What is the Adjusted R² value for the regression?

0.26

0.29

0.99

0.002

. Run a one way independent ANOVA on the data stored in AOVdata. The dependent variable is called RT, and the independent variable is called attentioncondition. What is the value of the F-ratio?

0.04

40.3

5.51

3.53

. Rerun the analysis from Question 6 as a linear regression model using the lm function. What is the p-value for the slope linking levels 1 and 2 of the independent variable?

<2*10^-16

0.207

0.013

0.043

. Calculate a paired samples t-test using the data stored in paireddata. What is the p-value for the difference in stickiness between conditions 1 and 2?

0.44

0.28

0.79

0.11

. Use the formula in Table 4.1 to calculate a one-way repeated measures ANOVA using the data in rmdata. What is the F-ratio for the effect of condition on the dependent variable cellsize, and is this significant at p<0.05?

F = 57.99, significant at p<0.05

F = 57.99, not significant at p<0.05

F = 29.76, significant at p<0.05

F = 29.76, not significant at p<0.05

. Run a 2x2 factorial independent ANOVA on the data stored in factdata, to see how the independent variables IV1 and IV2 influence the dependent variable DV. Which summary best describes the results?

Both independent variables have a significant effect, and the interaction is also significant

Both independent variables have a significant effect, but the interaction is not significant

IV1 has a significant effect, but IV2 does not, and there is no interaction

Neither IV has a significant effect, but the interaction between them is significant

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