Quantitative Methods PSY302 Quiz Chapter 9 Statistical Significance

1. What we mean by the word significant is that any difference observed is not due to: A systematic influence A preference for working mothers Calculation error Chance Correlation.

1. What we mean by the word significant is that any difference observed is not due to: A systematic influence A preference for working mothers Calculation error Chance Correlation.

2. In the study on maternal employment the researchers found that children of working mothers had a significant difference in attitude than those whose mother did not work. Significant means This is a meaningful result Adolescents don’t care about work Work has no effect of attitudes The result probably did not occur by chance A & D

2. In the study on maternal employment the researchers found that children of working mothers had a significant difference in attitude than those whose mother did not work. Significant means This is a meaningful result Adolescents don’t care about work Work has no effect of attitudes The result probably did not occur by chance A & D

3. The null hypothesis states: That the observed results are meaningful The observed results did not occur by chance The observed results occurred by chance All of the above

3. The null hypothesis states: That the observed results are meaningful The observed results did not occur by chance The observed results occurred by chance All of the above

4. If the null hypothesis is true and you reject the null hypothesis you have: Supported your study Achieved statistical significance Stressed causation Regressed to the mean Made an error

4. If the null hypothesis is true and you reject the null hypothesis you have: Supported your study Achieved statistical significance Stressed causation Regressed to the mean Made an error

5. Power is a construct that has to do with how well a statistical test can: Determine causation Reject the null hypothesis Measure the variability Withstand violations of assumptions All of the above

5. Power is a construct that has to do with how well a statistical test can: Determine causation Reject the null hypothesis Measure the variability Withstand violations of assumptions All of the above

6. A _____ is the best estimate of the range of a population parameter that we can come up with. Standard deviation Confidence interval Standard error of the mean Chi square Pearson Product Moment Correlation Coefficient

6. A _____ is the best estimate of the range of a population parameter that we can come up with. Standard deviation Confidence interval Standard error of the mean Chi square Pearson Product Moment Correlation Coefficient

7. If the obtained value falls somewhere in the area to the left of the critical value then we: Fail to reject the null Conclude our results are meaningful Celebrate success All of the above

7. If the obtained value falls somewhere in the area to the left of the critical value then we: Fail to reject the null Conclude our results are meaningful Celebrate success All of the above

8. If the obtained value falls somewhere in the area to the left of the critical value then we the researchers: are sad. Conclude our results are meaningful Celebrate success All of the above

8. If the obtained value falls somewhere in the area to the left of the critical value then we the researchers: are sad. Conclude our results are meaningful Celebrate success All of the above

9. The test statistic value is also called the: Mean square variance Obtained value Chi square All of the above

9. The test statistic value is also called the: Mean square variance Obtained value Chi square All of the above

10. The most common level of significance is: 100% .05 The standard error times the mean .15 .25

10. The most common level of significance is: 100% .05 The standard error times the mean .15 .25

Bonus: if the p-value associated with our obtained value is less than Bonus: if the p-value associated with our obtained value is less than .05 then we: Celebrate We fail to reject the null hypothesis We conclude that the results occurred by chance Start over with a larger sample size All of the above

Bonus: if the p-value associated with our obtained value is less than Bonus: if the p-value associated with our obtained value is less than .05 then we: Celebrate We fail to reject the null hypothesis We conclude that the results occurred by chance Start over with a larger sample size All of the above P < .05

The End