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Quantitative Methods PSY302 Quiz Chapter 9 Statistical Significance
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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.
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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9. The test statistic value is also called the:
Mean square variance Obtained value Chi square All of the above
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9. The test statistic value is also called the:
Mean square variance Obtained value Chi square All of the above
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10. The most common level of significance is:
100% .05 The standard error times the mean .15 .25
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10. The most common level of significance is:
100% .05 The standard error times the mean .15 .25
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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
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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
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The End
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