Question
1. When we fail to reject the null hypothesis, which of the following is true? A. Group differences are due to chance, not to the
1. When we fail to reject the null hypothesis, which of the following is true?
A. Group differences are due to chance, not to the conditions of the experiment.
B. Group differences are due to the conditions of the experiment, not to chance.
C. Group differences are due to both chance and the conditions of the experiment.
D. Group differences are due to neither chance nor the conditions of the experiment.
2. Construct a 95% confidence interval using the following information. s = 4.67 n = 20
A. 79.23-98.77
B. 79.85-98.15
C. 86.81-91.19
D. 86.96-91.04
3. Given the following correlation summary table from Excel, what conclusions can we make about the relationship between Overall GPA and Test Scores?
Overall GPA | Test Scores | |
Overall GPA | 1 | |
Test Scores | 0.860536201 | 1 |
A. r = 1, there is a strong positive correlation
B. r = .86, there is a strong positive correlation
C. r = -1, there is a weak positive correlation
D. r = -.86, there is a weak positive correlation
4. If you have data for more than one variable ________.
A. you cannot use Excel to analyze this data
B. you would create in Excel a separate column for each variable
C. Excel will treat all of the data as one variable
D. each variable will require its own separate data file in Excel
5. Given the following Regression Summary Table, the value that we use for ain the regression formula is ________ (rounded to the nearest hundredth).
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.3674401 | |||||||
R Square | 0.1350123 | |||||||
Adjusted R Square | 0.0268888 | |||||||
Standard Error | 8.5145044 | |||||||
Observations | 10 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 90.52571429 | 90.526 | 1.24869 | 0.29623593 | |||
Residual | 8 | 579.9742857 | 72.497 | |||||
Total | 9 | 670.5 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 129.27143 | 41.04914656 | 3.1492 | 0.01362 | 34.6119269 | 223.93093 | 34.61192693 | 223.9309302 |
Paper | -0.5085714 | 0.455119406 | -1.117 | 0.29624 | -1.5580787 | 0.5409358 | -1.55807866 | 0.540935802 |
A. 129.27
B. .51
C. 41.05
D. .46
6. The correct degrees of freedom for a t-test for independent samples is ________.
7. Being male or female are examples of ________ events?
A. dependent
B. independent
C. mutually exclusive
D. complement
8. Scatter plots are used to graph which of the following?
A. one quantitative variable
B. two matched quantitative variables
C. one categorical variable
D. two matched categorical variables
9. Stating that a dependent samples or independent samples t-test is significant at the 0.05 level is to say that ________.
A. there is less than a 5% chance that the researcher committed a Type I error
B. there is a less than 5% chance that the researcher committed a Type II error
C. the standard deviations are unlikely to be that different 5% of the time
D. the means are not different from one another 5% of the time
10. Given that there are 35 psychology majors at a campus with 500 students, what is the probability that the next student you meet is a psychology major?
A. 0
B. 1
C. .07
D. .25
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