AP Stats Multiple Choice
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More dogs are being diagnosed with thyroid problems than have been diagnosed in the past. A researcher identified 50 puppies without thyroid problems and kept records of their diet for several years to see if any developed thyroid problems. This is a(n) a. randomized experiment b. survey c. prospective study d. retrospective study e. blocked experiment
answer
c. prospective study
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A chemistry professor who teaches a large lecture class surveys his students who attend his class about how he can make the class more interesting, hoping he can get more students to attend. This survey method suffers from a. voluntary response bias b. nonresponse bias c. response bias d. undercoverage e. none of the above
answer
d. undercoverage
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Placebos are a tool for a. sampling b. blocking c. blinding d. control e. randomization
answer
c. blinding
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Double-blinding in experiments is important so that I. The evaluators do not know which treatment group the participants are in II. The participants do not know which treatment group they are in III. No one knows which treatment any of the participants are getting a. I only b. II only c. III only d. I and II e. I, II, and III
answer
d. I and II
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Which of the following is NOT required in an experimental design? a. blocking b. control c. randomization d. replication e. all are required in an experimental design
answer
a. blocking
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A researcher wants to compare the effect of a new type of shampoo on hair condition. The researcher believes that men and women may react differently to the shampoo. Additionally, the researcher believes that the shampoo will react differently on hair that is dyed. The subjects are split into four groups: men who dye their hair; men who do not dye their hair; women who dye their hair; women who do not dye their hair. Subjects in each group are randomly assigned to the new shampoo and the old shampoo. This experiment a. is completely randomized b. has three factors (shampoo type, gender, whether hair is dyed) c. has two factors (shampoo type and whether hair is dyed) blocked by gender d. has two factors (gender and whether hair is dyed) blocked by shampoo type e. has one factor (shampoo type), blocked by gender and whether hair is dyed
answer
b. has three factors (shampoo type, gender, whether hair is dyed)
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Researchers studying growth patterns of children collect data on the heights of fathers and sons. The correlation between the fathers' heights and the heights of the 16 year-old sons is most likely to be a. near -1.0 b. near 0 c. near +0.7 d. exactly +1.0 e. somewhat greater than 1.0
answer
c. near +0.7
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The auto insurance industry crashed some test vehicles into a cement barrier at speeds of 5 to 25 mph to investigate the amount of damage to the cars. They found a correlation of r=0.60 between speed (MPH) and damage ($). If the speed at which the car hit the barrier is 1.5 standard deviations above the mean speed, we expect the damage to be ______ the mean damage. a. equal to b. 0.36 SD above c. 0.60 SD above d. 0.90 SD above e. 1.5 SD above
answer
d. 0.90 SD above (SDxr=A)
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The correlation between X and Y is r=0.35. If we double each X value, decrease each Y by 0.20, and interchange the variables (put X on the Y-axis and vice versa) the new correlation a. is 0.35 b. is 0.50 c. is 0.70 d. is 0.90 e. cannot be determined
answer
a. is 0.35
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A consumer group collected information on HDTVs. They created a linear model to estimate the cost of an HDTV (in $) based on the screen size (in inches). Which is the most likely value of the slope of the line of best fit? a. 0.70 b. 7 c. 70 d. 700 e. 7000
answer
c. 70
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The correlation between a family's weekly income and the amount they spend on restaurant meals is found to be r=.30. Which must be true? I. Families tend to spend about 30% of their incomes in restaurants II. In general, the higher the income, the more families spend in restaurants III. The line of best fit passes through 30% of the (income, restaurant$) data points a. I only b. II only c. III only d. II and III only e. I, II, and III
answer
b. II only
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A regression analysis of company profits and the amount of money the company spent on advertising found r^2 = 0.72. Which of these is true? I. This model can correctly predict the profit for 72% of companies II. On average, about 72% of a company's profit results from advertising III. On average, companies spend about 72% of their profits on advertising a. None b. I only c. II only d. III only e. I and III
answer
c. II only
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A medical researcher finds that the more overweight a person is, the higher his pulse rate tends to be. In fact, the model suggests that 12-pound differences in weight are associated with differences in pulse rate of 4 beats per minute. Which is true? I. The correlation between pulse rate and weight is 0.33 II. If you lose 6 pounds your pulse rate will slow down 2 beats per minute III. a positive residual means a person's pulse rate is higher than he model predicts a. none b. I only c. II only d. III only e. II and III only
answer
d. III only
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School administrators collect data on students attending the school. Which of the following variables is quantitative? a. class (freshman, sophomore, junior, senior) b. whether the student is in AP classes c. grade point average d. whether the student has taken the SAT e. none of these
answer
c. grade point average
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Which of the following variables would most likely follow a Normal model? a. family income b. heights of singers in a co-ed choir c. weights of adult male elephants d. scores on an easy test e. all of these
answer
c. weights of adult male elephants
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A professor has kept records on grades that students have earned in his class. If he wants to examine the percentage of students earning the grades A, B, C, D, and F during the most recent term, which kind of plot could he make? a. boxplot b. timeplot c. dotplot d. pie chart e. histogram
answer
d. pie chart
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Two sections of a class took the same quiz. Section A had 15 students who had a mean score of 80, and Section B had 20 students who had a mean score of 90. Overall, what was the approximate mean score for all of the students on the quiz? a. 84.3 b. 85.0 c. 85.7 d. none of these e. cannot be determined
answer
c. 85.7
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Your Stats teacher tells you your test score was the 3rd quartile for the class. Which is true? I. You got 75% on the test II. You can't really tell what this means without knowing the standard deviation III. You can't really tell what this means unless the class distribution is nearly Normal a. none of these b. I only c. II only d. III only e. II and III
answer
a. none of these
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Suppose that a Normal model described student scores in a history class. Parker has a standardized score (z-score) of +2.5 This means that Parker a. is 2.5 points above average for the class b. is 2.5 standard deviations above average for the class c. has a standard deviation of 2.5 d. has a sore that is 2.5 times the average for the class e none of the above
answer
b. is 2.5 standard deviations above average for the class
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The advantage of making a stem-and-leaf display instead of a dotplot is that a stem-and-leaf display a. satisfies the area principle b. shows the shape of the distribution better than a dotplot c. preserves the individual date values d. a stem-and-leaf plot is for quantitative data, while a dotplot shows categorical data e. none of these
answer
c. preserves the individual data values
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Which of the following summaries are changed by adding a constant to each data value? I. the mean II. the median III. the standard deviation a. I only b. III only c. I and II d. I and III e. I, II, and III
answer
c. I and II
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All but one of these statements contain a mistake. Which could be true? a. the correlation between a football player's weight and the position he plays is 0.54 b. the correlation between the amount of fertilizer used and the yield of beans is 0.42 c. the correlation between a car's length and its fuel efficiency is 0.71 miles per gallon d. there is a high correlation (1.09) between height of a corn stalk and its age in weeks e. There is a correlation of 0.63 between gender and political party
answer
b. the correlation between the amount of fertilizer used and the yield of beans is 0.42
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Residuals are.... a. possible models not explore by the researcher b. variation in the data that is explained by the model c. the difference between observed responses and values predicted by the model d. data collected from individuals that is not consistent with the rest of the group e. none of these
answer
c. the difference between observed responses and values predicted by the model
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Which statement about influential points is true? I. Removal of an influential point changes the regression line II. Data points that are outliers in the horizontal direction are more likely to be influential than points that are outliers in the vertical directions III. Influential points have large residuals a. I only b. I and II c. I and III d. II and III e. I, II, and III
answer
b. I and II
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Which is true? I. Random scatter in the residuals indicates a model with high predictive power II. If two variables are very strongly associated, then the correlation between them will be near +1.0 or -1.0 III. The higher the correlation between two variables the more likely the association is based in cause and effect a. none b. I only c. II only d. I and II only e. I, II, and III
answer
a. none
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A company's sales increase by the same amount each year. This growth is... a. linear b. exponential c. logarithmic d. power e. quadratic
answer
a. linear
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A company's sales increase by the same percent each year. This growth is... a. linear b. exponential c. logarithmic d. power e. quadratic
answer
b. exponential
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A scatterplot of 1/y^1/2 vs. x shows a strong positive linear pattern. It is probably true that a. the correlation between X and Y is near +1.0 b. the scatterplot of Y vs X also shows a linear pattern c. the residuals plot for regression of Y on X shows a curved pattern d. large values of X are associated with large values of Y e. accurate predictions can be made for Y even if extrapolation is involved
answer
c. the residuals plot for regression of Y on X shows a curved pattern
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It's easy to measure the circumference of a tree's trunk, but not so easy to measure its height. Foresters developed a model for ponderosa pines that they use to predict the tree's height (in feet) from the circumference of its trunk (in inches): ln(h) = -1.2 + 1.4(ln C). A lumberjack finds a tree with a circumference of 60"; how tall does this model estimate the tree to be? a. 5' b. 11' c. 19' d. 83' e. 93'
answer
e. 93'
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Two variables that are actually not related to each other may nonetheless have a very high correlation because they both result from some other, possibly hidden, factor. This is an example of a. leverage b. a lurking variable c. extrapolation d. regression e. an outlier
answer
b. a lurking variable
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In an AP Stats class, 57% of students eat breakfast in the morning and 80% of students floss their teeth. Forty-six percent of students eat breakfast and also floss their teeth. What is the probability that a student from this class eats breakfast but does not floss their teeth? a. 9% b. 11% c. 34% d. 57% e. 91%
answer
b. 11%
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In an AP Stats class, 57% of students eat breakfast in the morning and 80% of students floss their teeth. Forty-six percent of students eat breakfast and also floss their teeth. What is the probability that a student from this class eats breakfast or flosses their teeth? a. 9% b. 11% c. 34% d. 57% e. 91%
answer
e. 91%
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Five juniors and four seniors have applied for two open student council positions. School administrators have decided to pick the two new members randomly. What is the probability they are both juniors or both seniors? a. 0.395 b. 0.444 c. 0.506 d. 0.569 e. 0.722
answer
b. 0.444
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A fair coin has come up "heads" 10 times in a row. The probability that the coin will come up heads on the next flip is a. less than 50%, since "tails" is due to come up b. 50% c. greater than 50%, since it appears that we are in a streak of "heads" d. it cannot be determined
answer
b. 50% (Law of Averages DOES NOT EXIST)
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According to the National Telecommunication and Information Administration, 56.5% of U.S. households owned a computer in 2001. What is the probability that of three randomly selected U.S. households at least one owned a computer in 2001? a. 18.0% b. 43.5% c. 56.5% d. 82.0% e. 91.8%
answer
e. 91.8%
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According to the National Telecommunication and Information Administration, 50.5% of U.S. households had Internet access in 2001. What is the probability that four randomly selected U.S. households all had Internet access in 2001? a. 6.5% b. 12.6% c. 49.5% d. 50.5% e. 93.5%
answer
a. 6.5%
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Which of these has a Binomial model? a. the number of people we survey until we find someone who has taken Statistics b. the number of people we survey until we find two people who have taken statistics c. the number of people in a class of 25 who have taken Statistics d.the number of aces in a five-card Poker hand e. the number of sodas students drink per day
answer
c. the number of people in a class of 25 who have taken Statistics
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Which of these has a Geometric model? a. the number of people we survey until we find someone who has taken Statistics b. the number of people we survey until we find two people who have taken statistics c. the number of people in a class of 25 who have taken Statistics d.the number of aces in a five-card Poker hand e. the number of sodas students drink per day
answer
a. the number of people we survey until we find someone who has taken Statistics
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Batco, a company that sells batteries, claims that 99.5% of their batteries are in working order. how many would you expect to buy, on average, to find one that does not work? a. 5 b. 100 c. 200 d. 995 e. 2000
answer
c. 200 (do not work=success=p=.05)
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Some marathons allow two runners to "split" marathons by each running a half marathon. Alice and Sharon plan to split a marathon. Alice's half-marathon times average 92 minutes with a standard deviation of 4 minutes, and Sharon's half-marathon times average 96 minutes with a standard deviation of 2 minutes. Assume that the women's half-marathon times are independent. The expected time for Alice and Shaorn to complete a full marathon is 92+96=188 minutes. What is the standard deviation of their total time? a. 2 minutes b. 4.5 minutes c. 6 minutes d. 20 minutes e. it cannot be determined
answer
b. 4.5 minutes
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