3:10 PM Done Test-#1 (Ch. 1-6 with 40 Questions).docx 14. When calculating the v

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3:10 PM Done Test-#1 (Ch. 1-6 with 40 Questions).docx 14. When calculating the variance, each deviation is squared in order T-Mobile LTE 31%) to a. eliminate negative signs from deviation scores. b. generate squared units of measurement. c. emphasize the contributions of larger deviations. d. attain all of the above. 15. Five children are tested for IQ and their scores are: 110, 160, 100, 100, 110. What is the best way to describe the central tendency of these scores? a. the mode b. the median c. the mean d. the range 16. Knowing the standard deviation of a set of scores, it is possible to a range b. variance c. the mean d. the frequency distribution 17. When summarizing data, why is it important to report both the mean and the standard deviation? a. two sets of data could have the same mean but different amounts of variability b. this way both descriptive and inferential statistics are covered c. this way the null hypothesis can be evaluated d. this enables the researcher to avoid Type I and Type II errors 18. Indicate which one of the following sets of observations has the larger standard deviation. (Calculations aren't necessary to answer this question.) a. 4045, 4050, 4055 b. 5,20, 35 c. 530, 540, 550 d. 988, 1000, 1012 19. If the distribution of weekly study times reported by college students has a mean of 25 hours with a standard deviation of 10

Explanation / Answer

Question 14:

The squaring of the deviations is primarily done to remove the negative signs from the deviation scores because the sum of all the squares is always equal to zero. Also as we are squaring it, therefore this process helps in the emphasis of the contribution of large deviations. Therefore d is the correct answer here.

Question 15:

Here the scores given to us are:

100, 100, 110, 110, 160

Here clearly we see that there is an outlier present in the form of 160, therefore mean is not a good measure of central tendency here. The median is a good measure that is 110 here.

Question 16:

The variance is computed as the square of the standard deviation. Therefore b) Variance is the correct answer here.

Question 17:

While summarizing data, we need both a measure of central tendency and a measure of dispersion because there could be datasets with equal mean ( measure of central tendency ) but different standard deviations that is the measure of dispersion. Therefore a is the correct answer here.

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