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**Psy302 Quantitative Methods**

QUIZ CHAPTER FIFTEEN

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Opening Day, Today: 3:00 p.m.

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1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called effect size power hypothesis testing coincidence a correlation

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1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called effect size power hypothesis testing coincidence a correlation

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The strength and direction of a correlation are measured by the correlation coefficient which is represented as: μ σ r cc

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2. The strength and direction of a correlation are measured by the correlation coefficient which is represented as: μ σ r cc

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3. A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule. Which description best explains the relationship between these two factors? The more a person works, the more coffee he or she tends to drink. The less a person works, the more coffee he or she tends to drink. The more a person works, the less coffee he or she tends to drink. No linear pattern is evident.

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3. A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule. Which description best explains the relationship between these two factors? The more a person works, the more coffee he or she tends to drink. The less a person works, the more coffee he or she tends to drink. The more a person works, the less coffee he or she tends to drink. No linear pattern is evident.

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**4. With correlation data we cannot talk about:**

a relationship between variables prediction one moving with another one variable causing another all of the above

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**4. With correlation data we cannot talk about:**

a relationship between variables prediction one moving with another one variable causing another all of the above

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**5. R2 or ________ is the proportion of variance in one variable that can be explained by the second.**

Times square the coefficient of determination the sum of squares The Chi Square test analysis of variance

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**5. R2 or ________ is the proportion of variance in one variable that can be explained by the second.**

Times square the coefficient of determination the sum of squares The Chi Square test analysis of variance

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**6. Which of the following indicates the strongest correlation?**

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**6. Which of the following indicates the strongest correlation?**

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**7. The correlation coefficient ranges from –1. 0 to +1**

7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicating a more positive relationship between two factors a stronger relationship between two factors that two factors are less likely to be related that the correlation is due to outliers all of the above

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**7. The correlation coefficient ranges from –1. 0 to +1**

7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicating a more positive relationship between two factors a stronger relationship between two factors that two factors are less likely to be related that the correlation is due to outliers all of the above

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8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor. related to changes causing changes causing variability exactly mirrored all of the above

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8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor. related to changes causing changes causing variability exactly mirrored all of the above

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**9. The most common measure of effect size for the correlation coefficient is called**

the coefficient of determination estimated Cohen's d the test statistic

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**9. The most common measure of effect size for the correlation coefficient is called**

the coefficient of determination estimated Cohen's d the test statistic

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**10. The coefficient of determination is**

a measure of effect size mathematically equivalent to eta- squared equal to the correlation coefficient squared all of the above

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**10. The coefficient of determination is**

a measure of effect size mathematically equivalent to eta- squared equal to the correlation coefficient squared all of the above

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The End

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