Calculus and Above

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6. It is important to...

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

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

True

False

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

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

True

False

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

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

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

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

True

False

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

True

False

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

Sample

Population

Median Group

Complete selection

16. Data which uses number values, has an equal distance between values, and has a meaningful value of zero is: (Points : 1)

Interval

Nominal

Ordinal

Ratio

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

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

True

False

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

Nominal

Ordinal

Normal

Interval

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

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

True

False

22. Parametric tests can be used with any type of data. (Points : 1)

True

False

23. This term refers to how data spreads out or disperses within a distribution. (Points : 1)

Variability

Critical region

Range

Mode

24. Relevant data that are expressed in numerical form are called: (Points : 1)

Qualitative data

Quantitative data

Standard data

Multiplicative data

25. It is not necessary to look at the frequency distribution if the mean, median, and mode are known. (Points : 1)

True

False

26. Causation is synonymous with association. (Points : 1)

True

False

27. The area of the theoretical distribution where the researcher will reject the null hypothesis is called: (Points : 1)

+/- 1 standard deviation

Semi-quartile range

Critical region

Standard deviation

28. The arithmetic average of the data is called the: (Points : 1)

Mean

Median

Mode

Variable

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