# Trivia Test On Advanced Placement Statistics! Quiz

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Are you looking for a Trivia Test on Advanced Placement Statistics! You are in luck as the one below is perfect for you, not only does it show you some of the hardest questions you might come across but it will show you where you need to put more work in. Do give it a shot and get to see how well you will do.

• 1.

### The following boxplots summarize two data sets, X and Y. Which of the following must be true?

• A.

Set X and set Y have the same number of data points.

• B.

The shaded box of set X contains more data points than the shaded box of set Y.

• C.

The data set X have a larger range than the data in set Y.

• D.

About 50% of the values in set X are greater than about 75% of the values in set Y.

• E.

The median of set X is less than the median of set Y.

D. About 50% of the values in set X are greater than about 75% of the values in set Y.
Explanation
The correct answer is that about 50% of the values in set X are greater than about 75% of the values in set Y. This can be determined by comparing the positions of the quartiles in the boxplots. The shaded box represents the interquartile range, which contains the middle 50% of the data. If about 50% of the values in set X are greater than about 75% of the values in set Y, it means that set X has a larger spread of values in its upper quartile compared to set Y.

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• 2.

### Two measures, x and y, are taken on numerous subjects, and a least squares regression equation is computed. The resulting equation is predicted y = 382.1 - 12.25x. A correct interpretation for the slope and intercept is:

• A.

For every increase of 100 units in x, y increases approximately 1225 units; when x = 0, y is predicted to be 382.1.

• B.

For every increase of 100 units in x, y decreases approximately 1225 units; when x = 0, y is predicted to be 382.1.

• C.

For every increase of 100 units in x, y increases approximately 32,810 units; when x = 0, y is predicted to be 12.25.

• D.

For every increase of 100 units in x, y decreases approximately 1225 units; when x = 0, y is predicted to be 12.25.

• E.

For every increase of 100 units in x, y increases approximately 1225 units; when x = 0, y is predicted to be -12.25.

B. For every increase of 100 units in x, y decreases approximately 1225 units; when x = 0, y is predicted to be 382.1.
Explanation
The correct interpretation for the slope and intercept is that for every increase of 100 units in x, y decreases approximately 1225 units. This is because the slope of the regression equation is -12.25, indicating a negative relationship between x and y. The intercept of 382.1 represents the predicted value of y when x is 0. Therefore, when x = 0, y is predicted to be 382.1.

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• 3.

### Which of the following sampling designs does not contain a source of bias?

• A.

A politician would like to know how her constituents feel about a particular issue. As a result, her office mails questionnaires about the issue to a random sample of adults in her political district.

• B.

A company uses the telephone directory to randomly select adults for a telephone survey to gauge their feelings toward items manufactured by the company.

• C.

An interviewer selects a random sample of individuals to question about a particular issue. Since some of the individuals are not informed about the issue, the interviewer gives background and his personal view on the issue before recording their responses.

• D.

A news show asks viewers to call a toll-free number to express their opinions about a recent high-publicity trial.

• E.

One thousand numbered tickets are sold as a fund-raiser. Five numbers are chosen randomly, and the individuals with the winning ticket numbers each win \$10.

E. One thousand numbered tickets are sold as a fund-raiser. Five numbers are chosen randomly, and the individuals with the winning ticket numbers each win \$10.
Explanation
The sampling design that does not contain a source of bias is when one thousand numbered tickets are sold as a fund-raiser, and five numbers are chosen randomly. This design is unbiased because every ticket has an equal chance of being chosen, and the winners are determined solely based on chance. There is no opportunity for personal bias or manipulation in this design, making it the only option without a source of bias.

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• 4.

### A class of statistics students scored the following grades on a ten point quiz:  5, 2, 4, 6, 7, 9, 8, 10, 10, 6, 7, 7, 10, 4, 2.  Their teacher, who sets a passing grade at 70%, looks at the distribution and see that it is

• A.

Skewed right with about 50% of the class passing.

• B.

Skewed left with about 50% of the class passing.

• C.

Skewed right with about 50% of the class failing.

• D.

Nearly symmetric with one outlier.

• E.

Nearly symmetric with no outliers.

B. Skewed left with about 50% of the class passing.
Explanation
The distribution of grades on the quiz is skewed left because the majority of the grades are lower than the mean. This is indicated by the lower scores of 2, 4, and 5 being more frequent compared to the higher scores. Additionally, the statement that about 50% of the class is passing suggests that the passing grade is lower than the mean, further supporting the conclusion that the distribution is skewed left.

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• 5.

### Suppose that 25% of horses live over 23.4 years, while 85% live less than 25.2 years.  Assuming the ages of horses are normally distributed, what are the mean and standard deviation for the life expectancy of horses?

• A.

20.14 and 4.86

• B.

22.69 and 1.052

• C.

22.69 and 4.97

• D.

24.11 and 1.052

• E.

Not enough information is given to find the mean and s.d.

A. 20.14 and 4.86
Explanation
The mean and standard deviation for the life expectancy of horses can be calculated using the given information about the percentages of horses living over 23.4 years and less than 25.2 years. Since the ages of horses are assumed to be normally distributed, the mean can be estimated as the average of the two values (23.4 and 25.2). Therefore, the mean is (23.4 + 25.2) / 2 = 24.3. The standard deviation can be estimated by finding the difference between the mean and the two values (23.4 and 25.2) and then dividing by the corresponding z-score for the given percentage. Using this calculation, the standard deviation is (25.2 - 24.3) / 1.036 = 0.87. Therefore, the correct answer is 24.3 and 0.87, which is closest to 24.11 and 1.052.

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