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Here is a table of the undergraduate enrollment at a large state university, broken down by class: Here is a table of the undergraduate enrollment at a large state university, broken down by class:   The percentage of students in the five classifications should add to 100%. In fact, they add to only 99.9%. The reason is that A)  there must be an arithmetic mistake. B)  the percents are not exact, because they are rounded to one decimal place. C)  some students must be left out, so the total should be less than 100%. D)  this is an example of a biased measurement. The percentage of students in the five classifications should add to 100%. In fact, they add to only 99.9%. The reason is that


A) there must be an arithmetic mistake.
B) the percents are not exact, because they are rounded to one decimal place.
C) some students must be left out, so the total should be less than 100%.
D) this is an example of a biased measurement.

E) C) and D)
F) A) and D)

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Were the extinctions that occurred in the last ice age more frequent among species of animals with large body sizes? A researcher gathers data on the average body mass (in kilograms) of all species known to have existed at that time. These measurements are values of


A) a categorical variable.
B) a quantitative variable.
C) an invalid variable.
D) a margin of error.

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

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You are planning an experiment to determine the effect of the brand of gasoline and the weight of a car on gas mileage measured in miles per gallon. You will use a single test car, adding weights so that its total weight is 3000, 3500, or 4000 pounds. The car will drive on a test track at each weight using each of Exxon, Sunoco, and Texaco gasoline. In this study,


A) gasoline brand is a categorical variable and weight is a quantitative variable.
B) gasoline brand and weight are both categorical variables.
C) gasoline brand and weight are both quantitative variables.
D) gasoline brand is a quantitative variable and weight is a categorical variable.

E) A) and C)
F) C) and D)

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When pictures replace the bars in a bar graph, the resulting graph is called a


A) histogram.
B) photograph.
C) picture plot.
D) hologram.
E) pictogram.

F) A) and C)
G) C) and D)

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An example of a categorical variable is the


A) number of songs on my MP3 player.
B) title of a song on my MP3 player.
C) duration of a song (in seconds) on my MP3 player.
D) composer of a song on my MP3 player.
E) Both title of a song on my MP3 player and composer of a song on my MP3 player are correct.

F) B) and D)
G) None of the above

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In order to create a good graph, you must do each of the following EXCEPT


A) clearly label the axes or provide a legend.
B) use three-dimensional effects, many colors, and eye-catching backgrounds.
C) avoid pictograms.
D) make the data stand out.

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

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A common abuse of bar graphs is to


A) use bars of equal width so that we can't see differences among the bars.
B) replace bars by pictures and increase both height and width as the variable plotted increases.
C) use bars that don't touch each other.
D) draw the bars vertically rather than horizontally.
E) stretch or squeeze the scale at the base of the bars so that our eyes are misled.

F) All of the above
G) None of the above

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What does "seasonal adjustment" mean?


A) Data are seasonally adjusted if we take out changes that occur in about the same size and same time every year.
B) Data are seasonally adjusted when we ignore the effects of one-time events such as strikes and hurricanes.
C) Data are seasonally adjusted if we report the average for this month over several past years, not just this one month's data.
D) Data are seasonally adjusted if we report the average for the past four months, not just this month's data.

E) B) and D)
F) A) and D)

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In order to be correct, a line graph of the number of suicides per year in the United States must have


A) number of suicides on the horizontal scale.
B) years on the horizontal scale.
C) either suicides or years on the horizontal scale, as long as equal intervals are used.
D) bars of equal width.

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

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B

A __________ tells us what values a variable takes and how often it takes those values.


A) distribution
B) quantity
C) seasonal variation
D) trend

E) A) and B)
F) B) and D)

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A

While an analyst considers the time plot of the closing value of the Dow Jones Industrial Average, he notices a trend. This means he sees:


A) a persistent long-term rise or fall.
B) due to nonresponse.
C) due to confounding.
D) a pattern in a time series that repeats itself at known regular intervals of time.
E) the margin of error.

F) B) and D)
G) A) and B)

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To display the percent of residents at least 65 years old in each of the 50 states in 2011, a good choice of a graph would be a:


A) box score.
B) histogram.
C) line graph.
D) pie chart.
E) bar graph.

F) A) and B)
G) C) and D)

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A line graph shows that the price of fresh oranges falls early in each year when the orange harvest in Florida is ready, then it rises late in the year when oranges from that year's harvest begin to run out. This is an example of


A) trend in a line graph.
B) erratic fluctuations in a line graph.
C) seasonal variation in a line graph.
D) confounding.

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

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Is the type of high school a person went to, public or private, a significant factor in predicting that person's future college grade point average (GPA) ? A researcher gathers data on the type of high school and college GPA for 569 college seniors. These measurements are values of


A) quantitative variables.
B) categorical variables.
C) quantitative (SAT) and categorical (type of high school) variables.
D) invalid variables.

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

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C

Does using a cell phone while driving make an accident more likely? Researchers compared telephone company and police records to find 699 people who had cell phones and were also involved in an auto accident. Using billing records, they compared cell phone use in the period of the accident with cell phone use the same period on a previous day. Result: The risk of an accident was four times higher when using a cell phone. The researchers also recorded the manufacturer of each subject's cell phone (Apple, Samsung, etc.) . This variable is


A) categorical.
B) quantitative.
C) response.
D) not valid.

E) B) and D)
F) C) and D)

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The age, weight, imbiber status (drinker or nondrinker) , level of education (high school graduate or not,) and earned income of a simple random sample of 1,463 people is measured. The number of variables measured is:


A) 1463-the size of the sample.
B) six-age, weight, imbiber status, level of education, income, and number of high school graduates.
C) five-age, weight, imbiber status, level of education, and income.
D) three-age, weight, and income. Imbiber status and level of education are not variables because they don't have units such as years or pounds.

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

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You are planning an experiment to determine the effect of the brand of gasoline and the weight of a car on gas mileage measured in miles per gallon. You will use a single test car, adding weights so that its total weight is 3000, 3500, or 4000 pounds. The car will drive on a test track at each weight using each of Exxon, Sunoco, and Texaco gasoline. In this study, gasoline brand is a(n)


A) response variable.
B) explanatory variable.
C) lurking variable.
D) quantitative variable.

E) None of the above
F) B) and D)

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In a young woman's study group, 7 percent of the students are from the town where the young woman's school is located, 80 percent are from in-state (but not from the school's town) , and the rest are from outside the state. What percent of study group students is from outside the state?


A) 7 percent
B) 27 percent
C) 80 percent
D) 93 percent
E) 13 percent

F) A) and B)
G) C) and D)

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In a young woman's study group, 7 percent of the students are from the town where the young woman's school is located, 80 percent are from in-state (but not from the school's town) , and the rest are from outside the state. The proper graph for showing distribution of students in the study group is a:


A) line graph.
B) stemplot.
C) histogram.
D) pie chart.

E) All of the above
F) C) and D)

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A company database contains the following information about each employee: age, date hired, sex (male or female) , ethnic group (Asian, black, Hispanic, etc.) , job category (clerical, management, technical, etc.) , and yearly salary. Which of the following lists of variables are all categorical?


A) Age, sex, ethnic group
B) Sex, ethnic group, job category
C) Ethnic group, job category, yearly salary
D) Yearly salary, age
E) Age, date hired

F) B) and E)
G) B) and C)

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