Calculus and Above

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1. A formal statement that there is an absence of relationship between variables when tested by a researcher is called: (Points : 1)

Null hypothesis

Type I error

Type II error

Negative interval

Question 2. 2. Bivariate statistics refers to the statistical analysis of the relationship between two variables. (Points : 1)

True

False

Question 3. 3. Positive relationships between two variables indicate that, as the score of one increases, the score of the other increases. (Points : 1)

True

False

Question 4. 4. A result that is probably not attributable to chance is: (Points : 1)

Type I error

Type II error

Statistical significance

In the semi-quartile range

Question 5. 5. A score that is likely to fall into the middle 68% of scores of a normal distribution will fall inside these values: (Points : 1)

. +/- 3 standard deviations

+/- 2 standard deviations

+/- 1 standard deviation

semi-quartile range

Question 6. 6. It is important to assess the magnitude or strength of a relationship because this assists you with deciding whether or not a variable A causes variable B. (Points : 1)

True

False

Question 7. 7. In a negative relationship, as the score of one variable decreases, the score on the second variable decreases. (Points : 1)

True

False

Question 8. 8. A set of subjects, usually randomly sampled, selected to participate in a research study is called: (Points : 1)

Population

Sample

Mode Group

Partial Selection

Question 9. 9. A perfect negative relationship between two variables is expressed as r=0. (Points : 1)

True

False

Question 10. 10. When examining the relationship between a nominal variable and an interval or ratio variable, you would create a table using the nominal variables, calculate the mode and median of the interval or ratio variable, then make a decision regarding the relationship using the mode and median. (Points : 1)

True

False

Question 11. 11. A Z score of +/-1.96 is equivalent to these values on a normal distribution. (Points : 1)

Critical region

+/-1 standard deviation

+/-2 standard deviations

+/-3 standard deviations

Question 12. 12. An assumption used by statisticians which states that population parameters are normally distributed: (Points : 1)

Central Limit Theorem

Null Hypothesis

Statistical significance

Standard deviation

Question 13. 13. When examining the relationship between two interval or ration level variables, you can use a scatterplot to allow you to visualize the relationship between the two. (Points : 1)

True

False

Question 14. 14. Correlation coefficients, r, range from -1.00 to +1.00. (Points : 1)

True

False

Question 15. 15. An entire set of individuals or objects having some common characteristics is: (Points : 1)

Sample

Population

Median Group

Complete selection

Question 16. 16. Data which uses number values, has an equal distance between values, and has a possible absolute zero is: (Points : 1)

Interval

Nominal

Ordinal

Ratio

Question 17. 17. To determine the proportion of variability in one variable that can be accounted for or explained by the variability of a second variable, you would calculate a correlation coefficient, then square it. (Points : 1)

True

False

Question 18. 18. A significant finding with the 2 sample t-test indicates a strong relationship exists between the 2 population means. (Points : 1)

True

False

Question 19. 19. Data which uses number values with an equal distance between values are: (Points : 1)

Nominal

Ordinal

Normal

Interval

Question 20. 20. Data which uses numbers to provide categories or labels as well as the ordering of the categories are: (Points : 1)

Nominal

Ordinal

Ratio

Interval

Question 21. 21. Not all variables retained in a regression model are required to be significant. (Points : 1)

True

False

1. A formal statement that there is an absence of relationship between variables when tested by a researcher is called: (Points : 1)

Null hypothesis

Type I error

Type II error

Negative interval

Question 2. 2. Bivariate statistics refers to the statistical analysis of the relationship between two variables. (Points : 1)

True

False

Question 3. 3. Positive relationships between two variables indicate that, as the score of one increases, the score of the other increases. (Points : 1)

True

False

Question 4. 4. A result that is probably not attributable to chance is: (Points : 1)

Type I error

Type II error

Statistical significance

In the semi-quartile range

Question 5. 5. A score that is likely to fall into the middle 68% of scores of a normal distribution will fall inside these values: (Points : 1)

. +/- 3 standard deviations

+/- 2 standard deviations

+/- 1 standard deviation

semi-quartile range

Question 6. 6. It is important to assess the magnitude or strength of a relationship because this assists you with deciding whether or not a variable A causes variable B. (Points : 1)

True

False

Question 7. 7. In a negative relationship, as the score of one variable decreases, the score on the second variable decreases. (Points : 1)

True

False

Question 8. 8. A set of subjects, usually randomly sampled, selected to participate in a research study is called: (Points : 1)

Population

Sample

Mode Group

Partial Selection

Question 9. 9. A perfect negative relationship between two variables is expressed as r=0. (Points : 1)

True

False

Question 10. 10. When examining the relationship between a nominal variable and an interval or ratio variable, you would create a table using the nominal variables, calculate the mode and median of the interval or ratio variable, then make a decision regarding the relationship using the mode and median. (Points : 1)

True

False

Question 11. 11. A Z score of +/-1.96 is equivalent to these values on a normal distribution. (Points : 1)

Critical region

+/-1 standard deviation

+/-2 standard deviations

+/-3 standard deviations

Question 12. 12. An assumption used by statisticians which states that population parameters are normally distributed: (Points : 1)

Central Limit Theorem

Null Hypothesis

Statistical significance

Standard deviation

Question 13. 13. When examining the relationship between two interval or ration level variables, you can use a scatterplot to allow you to visualize the relationship between the two. (Points : 1)

True

False

Question 14. 14. Correlation coefficients, r, range from -1.00 to +1.00. (Points : 1)

True

False

Question 15. 15. An entire set of individuals or objects having some common characteristics is: (Points : 1)

Sample

Population

Median Group

Complete selection

Question 16. 16. Data which uses number values, has an equal distance between values, and has a possible absolute zero is: (Points : 1)

Interval

Nominal

Ordinal

Ratio

Question 17. 17. To determine the proportion of variability in one variable that can be accounted for or explained by the variability of a second variable, you would calculate a correlation coefficient, then square it. (Points : 1)

True

False

Question 18. 18. A significant finding with the 2 sample t-test indicates a strong relationship exists between the 2 population means. (Points : 1)

True

False

Question 19. 19. Data which uses number values with an equal distance between values are: (Points : 1)

Nominal

Ordinal

Normal

Interval

Question 20. 20. Data which uses numbers to provide categories or labels as well as the ordering of the categories are: (Points : 1)

Nominal

Ordinal

Ratio

Interval

Question 21. 21. Not all variables retained in a regression model are required to be significant. (Points : 1)

True

False

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