Normal Distribution and Points
Type I error
Type II error
Negative interval

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

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

4. A result that is probably not attributable to chance is: (Points : 1)  Type I error
Type II error
Statistical significance
In the semiquartile range

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
semiquartile range

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 ration 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 possible absolute 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 ttest 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...
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