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Exam 1: Describing Data: Graphical

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Question 1

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Which of the following is a quantitative variable?

A) the make of a washing machine
B) a person's gender
C) price of a car in thousands of dollars
D) whether a person is a college graduate or not

E) A) and B)
F) A) and C)

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Question 2

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A frequency distribution of numerical data differs from a frequency distribution for categorical data in that a frequency distribution for numerical data:

A) focuses on number and width of classes.
B) does not contain classes.
C) lists the classes in the right column.
D) lists the observations in the left column.

E) All of the above
F) A) and B)

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Question 3

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What type of graph does a stem-and-leaf resemble when turned vertically?

A researcher used a procedure to select a sample of n objects from a population in such a way that each member of the population is chosen strictly by chance,is equally likely to be chosen,and every possible sample of size n has the same chance of selection.The procedure used by the researcher is known as:

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The head of human resources at a corporation with 100 employees was curious about levels of employment by classification.She determined that 10% of all employees were classified as executive,15% as professional,25% as clerical and janitorial,30% as administrative and 20% as technical workers: -Construct a pie chart to show this information.

A pie chart is similar to a relative frequency distribution.

Jersey numbers of basketball players are an example of the ordinal scale data.

An observed subset of the population that is usually selected for analysis is called:

All graphic representations of sets of data need to be completely self-explanatory.That includes a descriptive meaningful title and identification of the vertical and horizontal scales.

Why is a cumulative relative frequency distribution so much more informative than just the relative frequency distribution?

In completing a survey,respondents use the following number codes to indicate ages. 1 = Age 19 years and under, 2 = 20 to 29 years of age 3 = 30 to 39 years of age, 4 = Age 40 years and older Is this data qualitative or quantitative? Explain.

Inferential statistics transform data into information.

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: In a recent marketing experiment,consumers were given one of four different types of dishwashing detergent and asked to use it for a month.At the end of that time they were asked to rate the detergent in terms of overall quality.The results are presented below. -Of the customers who rated their detergent good,what percentage evaluated Brand C?

When data is collected using a qualitative,nominal variable,what is true about a frequency distribution that summarizes the data?

Suppose you were interested in determining the average monthly expenditures of college students on DVDs.How would you define the population for this problem? How would you obtain sample data for this study? Why would you want to ensure that you survey a random sample of college students?

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The data in the next table indicate the number of degrees awarded from 2002 to 2008 by degree type at a four-year university in Utah. -Graph the data with a time-series plot.

Which of the following statements is false?

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Percentage returns for the 25 largest U.S.common stock mutual funds for a particular day are displayed below. -Construct an ogive to describe the data.

The field of statistics can be roughly subdivided into two areas: descriptive statistics and probability.

A parameter is a numerical measure that describes a specific characteristic of a sample.