Exam 3: Basic Statistics

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The least important consideration factor in making the decision to work with data in a grouped or an ungrouped distribution is:

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C

Standard scores are an example of an ordinal level of measurement.

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Group cum 20-22 3 50 17-19 5 47 14-16 10 42 11-13 14 32 8-10 11 18 5-7 6 7 2-4 1 1 -Using the set of data above, what is the score corresponding to the percentile rank of 70%?

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{14.4}

17 2 16 4 15 5 14 7 13 7 12 8 11 10 10 9 9 5 8 3 -What score from a group of scores having a mean of 25 and a standard deviation of 6 corresponds to a z-score of −1.5?

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In order to make statements such as 8 units is twice as much as 4 units, the ratio scale of measurement is required.

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17 2 16 4 15 5 14 7 13 7 12 8 11 10 10 9 9 5 8 3 -Approximately what percentile rank is associated with a score located one standard deviation above the mean in a normal distribution?

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Standard scores allow meaningful comparisons to be made from raw scores of different types of measurement.

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When scores are to be handled in an ungrouped distribution, what is the recommended arrangement?

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A basketball team played ten games at home, ten games on the road, and 12 games on a neutral court. The coach wanted to know if there was a statistically significant difference in the offensive point production in the three settings. To make this determination, the appropriate statistical test would be:

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Group cum 20-22 3 50 17-19 5 47 14-16 10 42 11-13 14 32 8-10 11 18 5-7 6 7 2-4 1 1 -Using the normal distribution table in your textbook, what is the equivalent percentile rank of each of the scores above?

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Lining students up according to height without actually measuring height represents the interval scale of measurement.

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The numbers on football jerseys are an example of the:

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A group of students completes the 12-minute run prior to a six-week jogging unit. At the end of the unit, the 12-minute run test is administered a second time. The instructor is interested in knowing if there is a statistically significant difference in the results of the two tests. To answer this question, the appropriate statistical test would be:

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17 2 16 4 15 5 14 7 13 7 12 8 11 10 10 9 9 5 8 3 -For the data listed below, calculate the correlation coefficient between pull-ups and chin-ups using the appropriate statistical method. Pull-ups (X) Chin-ups (Y) \nobreakspace\nobreakspace\nobreakspace\nobreakspace\nobreakspace\nobreakspace 6 8 5 5 Sum of X=57 9 13 4 3 Sum of Y=69 2 3 12 12 Sum of =455 8 9 9 11 Sum of =639 0 1 2 4 Sum of XY=531

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Predicting a person's weight based on height, shoe size, and waist circumference would be an example of using a multiple regression formula.

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17 2 16 4 15 5 14 7 13 7 12 8 11 10 10 9 9 5 8 3 -If 40 of the 120 scores in a distribution fall below a score of 50, what is the percentile rank of this score?

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Use the following data to answer this question: 10, 9, 7, 7, 6, 5, 4, 2, 1. What is the median for this distribution?

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Slight changes in some scores will probably not affect the:

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A graphic representation of a distribution of scores that is skewed to the right is often normally distributed.

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Group cum 20-22 3 50 17-19 5 47 14-16 10 42 11-13 14 32 8-10 11 18 5-7 6 7 2-4 1 1 -What percentage of scores lies between the z-scores of .33 and 2.15?

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