Normal Distribution and Points

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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
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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 semi-quartile range
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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
|

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
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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
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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
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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
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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 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...
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