Statistical Analysis I

A student was interested in the cigarette smoking habits of college students and collected data from an unbiased random sample of students. The data is summarized in the following table:

Males Surveyed	50	Females Surveyed	75
Males Who Smoke	20	Females Who Smoke	25
Males Who Do Not Smoke	30	Females Who Do Not Smoke	50

Why is the table NOT a frequency distribution?

	A. The number of males does not equal the sum of males that smoke and do not smoke.
	B. The classes are not mutually exclusive.
	C. There are too many classes.
	D. Class limits cannot be computed.

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 What's This?

The main purpose of descriptive statistics is to:

	A. data in a useful and informative manner.
	B. make inferences about a population.
	C. determine if the data adequately represents the population.
	D. gather or collect data.

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A poll of 1,000 voters used to predict the outcome of a statewide election is an example of:

	A. descriptive statistics.
	B. continuous variable measurement.
	C. statistical inference.
	D. deductive statistics.

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The number of fishing boats shipped from a manufacturer to a dealer each month is described as a:

	A. random variable.
	B. qualitative variable.
	C. discrete variable.
	D. continuous variable.

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The kinds of numbers that can take on any value, either a fraction or integer, between specified limits are called:

	A. random variables.
	B. qualitative variables.
	C. discrete variables.
	D. continuous variables.

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Which of the following is an example of a qualitative variable?

	A. Number of children in a family
	B. Weight of a person
	C. Color of ink in a pen
	D. Miles between oil changes

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Data obtained on the preferences of different religious groups for specific types of network television programming is an example of:

	A. random variables.
	B. qualitative variables.
	C. discrete variables.
	D. continuous variables.

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__________ level data are mutually exclusive and exhaustive, and categories are scaled according to the amount of the characteristic they possess, and zero represents a point on the scale.

	A. Nominal
	B. Ordinal
	C. Interval
	D. Ratio

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A bank asks customers to evaluate the drive-through service as good, average, or poor. Which level of measurement does this classification illustrate?

	A. Nominal
	B. Ordinal
	C. Interval
	D. Ratio

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Information can be misrepresented:

	A. through misleading charts and graphs.
	B. by reporting of an association of variables as causation.
	C. by presenting average data that misrepresents sample or population data.
	D. All of the above

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The first procedure we use to describe a data set is:

	A. differentiation.
	B. classification.
	C. data correlation.
	D. frequency distribution.

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The number of observations in each class is called the:

	A. data set
	B. class size
	C. class frequency
	D. class interval

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Which of the following is not a step used to organize data into a frequency distribution?

	A. decide on the number of classes.
	B. determine the class interval.
	C. prepare the raw data.
	D. set the individual class limits.

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The _________ can be computed by adding the lower class limit to the upper class limit and dividing by 2.

	A. class midpoint
	B. class interval
	C. class mark
	D. class size

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A set of data consists of 38 observations. How many classes would you recommend for the frequency distribution?

	A. 4
	B. 5
	C. 6
	D. 8

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A _________ is especially useful for depicting nominal level data.

	A. bar chart
	B. line chart
	C. histogram
	D. pie chart

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A set of data consists of 230 observations between $235 and $567. What class interval would you recommend?

	A. 15
	B. 25
	C. 45
	D. 50

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Both the _________ and the _________ allow us to get a quick picture of the main characteristics of the data.

	A. frequency distribution chart, polygraph
	B. histogram, frequency polygon
	C. pie chart, line chart
	D. horizontal bar chart, vertical bar chart

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A set of data consists of 83 observations. How many classes would you recommend for the frequency distribution?

	A. 5
	B. 6
	C. 7
	D. 8

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A stem-and-leaf display is an alternative to a:

	A. histogram
	B. frequency distribution
	C. frequency polygon
	D. horizontal bar chart

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