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Multiple Choice



 This activity contains 20 questions.

Question 1.
Which measure of central tendency can be used for both numerical and categorical variables?

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Question 2.
Which of the following statistics is not a measure of central tendency?

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Question 3.
Which of the following statements about the median is NOT true?

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Question 4.
The value in a data set that appears most frequently is called:

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Question 5.
In a perfectly symmetrical distribution:

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Question 6.
When extreme values are present in a set of data, which of the following descriptive summary measures are most appropriate?

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Question 7.
The smaller the spread of scores around the mean:

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Question 8.
According to the empirical rule, if the data form a "bell-shaped" normal distribution, _______ percent of the observations will be contained within two standard deviations around the mean.

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Question 9.
In a right-skewed distribution:

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Question 10.
Which of the following descriptive summary measures cannot be easily approximated from a box-and-whisker plot?

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Question 11.

TABLE 3-1

The data below represents the amount of grams of carbohydrates in a serving of breakfast cereal.

11 15 23 29 19 22 21 20 15 25 17


Referring to Table 3-1, the mean carbohydrates in this sample is ________ grams.

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Question 12.
Referring to Table 3-1, the median carbohydrate amount in the cereal is ________ grams.

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Question 13.
Referring to Table 3-1, the 1st quartile of the carbohydrate amounts is ________ grams.

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Question 14.
Referring to Table 3-1, the range in the carbohydrate amounts is ________ grams.

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Question 15.
Referring to Table 3-1, the variance of the carbohydrate amounts is ________ (grams squared).

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Question 16.
In right-skewed distributions, which of the following is the Correct statement?

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Question 17.
If the correlation coefficient is equal to 1.00, then

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Question 18.
The strength of the linear relationship between two numerical variables may be measured by the

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Question 19.
Which of the following is not part of the five-number summary?

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Question 20.
In the box-and-whisker plot for a bell-shape distribution,

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