# Probability Sample Test

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This is a sample test to gauge your knowledge about statistics and probability. Probability Sample Test quiz will help you revise for exams and increase you know how. All the best.

• 1.

### AN event has probability 1.0. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is certain. It will definitely occur on every trial.

• B.

This event is extremely likely and will occur almost all the time.

• C.

This event is likely and will occur more often than not in the long run.

• D.

This event is likely; however it is more likely to NOT occur than to occur.

• E.

This event is very unlikely, but it will occur once in a while.

A. This event is certain. It will definitely occur on every trial.
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 2.

### AN event has probability 0.95. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is certain. It will definitely occur on every trial.

• B.

This event is extremely likely and will occur almost all the time.

• C.

This event is likely and will occur more often than not in the long run.

• D.

This event is likely; however it is more likely to NOT occur than to occur.

• E.

This event is very unlikely, but it will occur once in a while.

B. This event is extremely likely and will occur almost all the time.
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 3.

### AN event has probability 0.5. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is certain. It will definitely occur on every trial.

• B.

This event is extremely likely and will occur almost all the time.

• C.

This event is likely and will occur more often than not in the long run.

• D.

This event is likely; however it is more likely to NOT occur than to occur.

• E.

This event will occur half of the time in the long run

E. This event will occur half of the time in the long run
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 4.

### AN event has probability 0.35. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is certain. It will definitely occur on every trial.

• B.

This event is extremely likely and will occur almost all the time.

• C.

This event is likely and will occur more often than not in the long run.

• D.

This event is likely; however it is more likely to NOT occur than to occur.

• E.

This event will occur half of the time in the long run

D. This event is likely; however it is more likely to NOT occur than to occur.
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 5.

### AN event has probability 0.05. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is extremely likely and will occur almost all the time.

• B.

This event is likely and will occur more often than not in the long run.

• C.

This event is likely; however it is more likely to NOT occur than to occur.

• D.

This event is very unlikely, but it will occur once in a while.

• E.

This event is impossible. It can never occur.

D. This event is very unlikely, but it will occur once in a while.
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 6.

### AN event has probability 0.0. Which one of the following statements best describes this event in along sequence of trials?

• A.

This event is extremely likely and will occur almost all the time.

• B.

This event is likely and will occur more often than not in the long run.

• C.

This event is likely; however it is more likely to NOT occur than to occur.

• D.

This event is very unlikely, but it will occur once in a while.

• E.

This event is impossible. It can never occur.

E. This event is impossible. It can never occur.
Explanation
1. Prob=1, this event is certain. It will definitely occur on every trial.
2. .8

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• 7.

### Of the following statements about standard deviation, three statements True and one is False. Which statement is FALSE?

• A.

Standard deviation has a unit of measure.

• B.

Standard deviation is only positive.

• C.

Standard deviation is inflated by outliers.

• D.

Standard deviation should be used to measure spread even when the mean is not an appropriate measure of center.

D. Standard deviation should be used to measure spread even when the mean is not an appropriate measure of center.
Explanation
Properties of Standard deviation:
1. Has a unit of measure
2. Can only be positive values.
3. Is affected by outliers. Outliers increases standard deviation.
4. It is appropriate measure of spread if the data is symmetric. When the data is symmetric, the mean is the appropriate measure of center.

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• 8.

### A survey conducted by the Statistics Department to assess the study habits of the Stats221 students and obtained data from a sample of 1000 Stats221 students. The average number of hours per week studying for Stats221 class was found to be 15 with a standard deviation of 5. Is 15 a parameter or a statistic? Why?

• A.

A parameter because the average is for all Stats221 students.

• B.

A parameter because is the average for all Stats221 students at BYU.

• C.

A statistic because it summarizes the results of the entire population of Stats221 students at BYU.

• D.

A statistic because it summarizes the results of this sample of 1000 Stats221 students.

D. A statistic because it summarizes the results of this sample of 1000 Stats221 students.
Explanation
Parameter refers to population mean or population standard deviation or population proportion.
Statistics refers to sample mean or sample standard deviation or sample proportion.

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• 9.

### A survey conducted by the BYU-Salt Lake Center to assess the reasons students from BYU-Provo take classes at the Salt Lake Center instead of in Provo and obtained data from a sample of 1500 BYU-Provo students. The administration believes that BYU-Provo students take an average of 6 credits per semester at the BYU-SLC. The average number of credits taken by BYU-Provo students was found to be 11 with a standard deviation of 3. Is 6 a parameter or a statistic? Why?

• A.

A parameter because the average is for all students.

• B.

A parameter because it is the average for all students at BYU-Provo.

• C.

A statistic because it summarizes the results of the entire population of students at BYU-Provo.

• D.

A statistic because it summarizes the results of this sample of 1500 BYU-Provo students.

B. A parameter because it is the average for all students at BYU-Provo.
Explanation
Parameter refers to population mean or population standard deviation or population proportion.
Statistics refers to sample mean or sample standard deviation or sample proportion.

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• 10.

### Which one of the following concepts says that if sample mean is based on a large simple random sample from a non-normal population, we can calculate approximate probabilities on sample mean using the standard Normal table?

• A.

The Law of Large Numbers.

• B.

The Central Limit Theorem.

• C.

The principle of least squares.

• D.

The sampling distribution of the mean.

• E.

There is no such result.

B. The Central Limit Theorem.
Explanation
The Central Limit theorem states that if sample mean is based on a large simple random sample from a non-normal population, we can calculate approximate probabilities on sample mean using the standard Normal table

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• 11.

### Theoretically, the "sampling distribution of sample mean" is which of the following?

• A.

The distribution of values of x in the population of interest.

• B.

The distribution of values of sample mean, but only in a very large samples.

• C.

The distribution of values of x in a specified sample from the population.

• D.

The distribution of values of sample mean from all possible samples of a specified size.

• E.

The histogram of values of x in a random sample of size n.

D. The distribution of values of sample mean from all possible samples of a specified size.
Explanation
The "sampling distribution of sample mean" is the distribution of values of sample mean from all possible samples of a specified size.

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• 12.

### The price of a pound of grapes in the grocery stores along the Wasatch Front is distributed normally with a mean of \$1.40 and a standard deviation of \$0.15. A store selling a pound of grapes for \$1.60 is considered expensive. What is the probability that a randomly selected store is selling expensive grapes?

• A.

0.9082

• B.

0.9099

• C.

0.0918

• D.

0.0901

• E.

0.1600

C. 0.0918
Explanation
z=(1.60-1.4)/0.15=1.33
From the Normal Table:
z Percentage to the left of z
1.33 .9082
The percentage to the right of z: 1-.9082=0.0918

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• 13.

### The price of a pound of grapes in the grocery stores along the Wasatch Front is distributed normally with a mean of \$1.40 and a standard deviation of \$0.15. What is the probability that the mean price of a pound of grapes of four randomly selected grocery stores will exceed \$1.60?

• A.

0.0038

• B.

0.0918

• C.

0.9962

• D.

0.9082

A. 0.0038
Explanation
z=(1.6-1.4)/(0.15/sqrt(4))=2.67
Percentage to the right of z: 1-0.9962=0.0038

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• 14.

### What does Central Limit Theorem allow us to do?

• A.

Calculate probabilities of sample mean from a large random sample taken from a non-Normal population.

• B.

Determine whether the data are sampled from a population which is Normally distributed.

• C.

Specify the probability of obtaining each possible random sample of size n.

• D.

Know exactly what the value of the sample mean will be.

A. Calculate probabilities of sample mean from a large random sample taken from a non-Normal population.
Explanation
The Central Limit Theorem allows us to calculate probabilities of sample mean from a large random sample taken from a non-Normal population.

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• 15.

### The histogram below represents the distribution of a population. Suppose a sampling distribution of is constructed from samples of size 60 from this population. Which one of the following figures best represents the sampling distribution?

• A.

A

• B.

B

• C.

C

• D.

D

A. A
Explanation
The sampling distribution is Normal with less spread and taller when n>=30.

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• 16.

### The histogram below represents the distribution of a population. Suppose a sampling distribution of is constructed from samples of size 60 from this population. Which one of the following figures best represents the sampling distribution?

• A.

A

• B.

B

• C.

C

• D.

D

A. A
Explanation
The sampling distribution is Normal with less spread and taller when n>=30.

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• 17.

### The histogram below represents the distribution of a population. Suppose a sampling distribution of is constructed from samples of size 60 from this population. Which one of the following figures best represents the sampling distribution?

• A.

A

• B.

B

• C.

C

• D.

D

A. A
Explanation
The sampling distribution is Normal with less spread and taller regardless of size when the population is already Normal.

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• 18.

### Use the counts of the following table to answer the following questions:Which of the following is the conditional distribution for Professions for those whose ethnicity is Asian?

• A.

A

• B.

B

• C.

C

• D.

D

C. C
Explanation
50/110=45.4; 20/110=18.2; 10/110=9.1; 30/110=27.3

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• 19.

### Use the counts of the following table to answer the following questions: What is the marginal percent of respondents who are lawyers?

• A.

18.18%

• B.

15.38%

• C.

42.86%

• D.

30%

• E.

27.08%

E. 27.08%
Explanation
130/480=27.08

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• 20.

### Use the counts of the following table to answer the following questions: Of the Asians, what percent are lawyers?

• A.

45.45%

• B.

18.18%

• C.

10.42%

• D.

81.81%

B. 18.18%
Explanation
20/110=18.18

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• 21.

### Use the counts of the following table to answer the following questions: Of the lawyers, what percent are Asians?

• A.

18.18%

• B.

15.38%

• C.

27.08%

• D.

30.76%

B. 15.38%
Explanation
20/130=15.38

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• 22.

### Consider the statement " The survey finds differences between Asians and Caucasians over professions. Just 7% of the Caucasians say that they are engineers; by contrast, more than 45% of the Asians say that they are engineers." Which of the following agrees with this statement:

• A.

There is a curved relationship between ethnicity and profession.

• B.

There is a linear relationship between ethnicity and profession.

• C.

There is an association between ethnicity and profession.

• D.

There is no association between ethnicity and profession.

C. There is an association between ethnicity and profession.
Explanation
When the percentages are not equal then there is association between the two categorical variables.

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• 23.

### Students who have taken Stats221 were asked in a survey about their Stats221 Final exam scores and how much time they spent studying for the class.The correlation coefficient between these two variables is 0.90. On the basis of this information, approximately what percentage of the variation in Stats221 Final exam score can be explained by how time students spent studying for the class?

• A.

90%

• B.

9%

• C.

81%

• D.

None of the above

C. 81%
Explanation
(.90)^2=.81 or 81%

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• 24.

### Consider these plots: the plot on the left is a scatterplot and the plot on the right is the corresponding residual plot from fitting a regression line. On the basis of these plots, is fitting the data with least-squares regression appropriate? Why or why not?

• A.

No, because the relationship between X and Y is non-linear.

• B.

No, because Y has more spread for larger value of X.

• C.

No, because there is no relationship between X and Y.

• D.

Yes, because X and Y has a linear relationship.

• E.

Yes, because there is a relationship between X and Y.

A. No, because the relationship between X and Y is non-linear.
Explanation
fitting the data with least-squares regression is NOT appropriate if the scatter plot shows non-linear pattern.

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• 25.

### Consider these plots: the plot on the left is a scatterplot and the plot on the right is the corresponding residual plot from fitting a regression line. On the basis of these plots, is fitting the data with least-squares regression appropriate? Why or why not?

• A.

No, because the relationship between X and Y is non-linear.

• B.

No, because Y has more spread for larger value of X.

• C.

No, because there is no relationship between X and Y.

• D.

Yes, because X and Y has a linear relationship.

• E.

Yes, because there is a relationship between X and Y.

D. Yes, because X and Y has a linear relationship.
Explanation
fitting the data with least-squares regression is appropriate when the scatter plot shows a linear pattern.

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• 26.

### In order to apply the Central Limit Theorem when sampling from a non-Normal population, which one of the following states the necessary conditions?

• A.

The population must not be skewed.

• B.

The population distribution from which the data are sampled must be Normal.

• C.

A large simple random sample must be taken.

• D.

The data must have a bell-shaped distribution.

C. A large simple random sample must be taken.
Explanation
When sampling from a non-Normal population, a large (n>=30) simple random sample must be taken for the Central Limit to hold that the shape of the sampling distribution is Normal.

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• 27.

### Consider a population that is non-Normally distributed with mean 70 and a standard deviation of 10. A sample size of 25 is taken from this population. Which of the following statements about the sampling distribution of sample means is true?

• A.

The sampling distribution of sample means is Normally distributed with standard deviation less than 10.

• B.

The sampling distribution of sample means is Normally distributed with standard deviation of 10.

• C.

The sampling distribution of sample means is Normally distributed with standard deviation greater than 10.

• D.

The sampling distribution of sample means is not Normally distributed with standard deviation less than 10.

• E.

The sampling distribution of sample means is not Normally distributed with standard deviation of 10.

D. The sampling distribution of sample means is not Normally distributed with standard deviation less than 10.
Explanation
When sampling from a non-Normal population, a large (n>=30) simple random sample must be taken for the Central Limit to hold that the shape of the sampling distribution is Normal.

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• 28.

### Home prices follow an extremely right skewed distribution with mean \$200k and a standard deviation of \$30k. If we select an SRS of 16 homes, can we use the standard Normal table to validly calculate the probability that their average home price is is greater than \$250k?

• A.

No, because the population standard deviation is not known.

• B.

No, because the Central Limit Theorem does not apply.

• C.

Yes, because of the sampling distribution of sample means is Normal.

• D.

Yes, because of the Law of Large numbers.

B. No, because the Central Limit Theorem does not apply.
Explanation
When sampling from a non-Normal population, a large (n>=30) simple random sample must be taken for the Central Limit to hold that the shape of the sampling distribution is Normal.

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• 29.

### Which one of the following control charts show a process that is in statistical control?

• A.

A

• B.

B

• C.

C

• D.

D

C. C
Explanation
Out of control charts when points are outside the UCL or LCL, and 9 consecutive points below or above the mean.

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• 30.

### The mean amount of money spent by BYU single students on dates this semester was \$380, with a standard deviation of \$100. The distribution was skewed to the right. Suppose you took 20,000 simple random samples of 49 students, and computed the mean amount for each sample. Between what two values would you expect approximately 95% of the mean amounts for the samples to be?

• A.

\$80 to \$680

• B.

\$351.4 to 408.6

• C.

\$280 to \$480

• D.

\$100 to \$380

B. \$351.4 to 408.6
Explanation
stdev for x-bar=100/sqrt(49)=14.29
95% covers 2 stdev above and below the mean, therefore, 380-3(14.29)=351.4, and 380+3(14.29)=408.6

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• 31.

### Cost of dates in a semester of single students at BYU are Normally distributed with mean \$380. A study is being planned to determine whether cost of dates in a semester for single students who are returned missionaries differ from the BYU mean. Proposed sample #1 has a sample size of 50 and proposed sample #2 has a sample size of 25. Which proposed sample is more likely to have an unusually high sample mean (i.e., a sample mean exceeding \$500 on dates)?

• A.

Proposal sample #1

• B.

Proposal sample #2

• C.

Both proposed samples have equal chance of having an unusually high sample mean.

B. Proposal sample #2
Explanation
The smaller the sample size, the larger the stdev of x-bar.
The larger the sample size, the smaller the stdev of x-bar.
stdev of x-bar=sigma/sqrt(n)

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• 32.

### The scatter plot below depicts the relationship between calories and sodium content of several brands of meat hotdogs. The least squares line has been drawn on the plot. What does the point labeled A in the scatterplot indicate?

• A.

The point labeled A does not have a residual.

• B.

The point labeled A has a positive residual.

• C.

The point labeled A has a negative residual.

• D.

The point labeled A is not an outlier.

B. The point labeled A has a positive residual.
Explanation
Points above the line have positive residuals.
Points below the line have negative residuals.

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• 33.

### A study was done of the accuracy of three-point shooting using Doriaâ€™s method and the traditional method. Dan Bentley took sixty shots using Doriaâ€™s method and 50 shots using the traditional method. The results are in the following table:Based on the information above, which of the following best describes Danâ€™s three-point shooting?

• A.

Dan shoots better using Doria method.

• B.

Dan shoots better using Traditional method.

• C.

There is no association between Danâ€™s shooting percentage and method of shooting.

• D.

There is a strong association between Danâ€™s shooting percentage and method of shooting.

C. There is no association between Danâ€™s shooting percentage and method of shooting.
Explanation
36/60=.6; 30/50=.6; 66/110=.6
If the conditional and marginal percentages are equal then there is NO association between the two categorical variables.

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• 34.

### Fill in the blank: If sampling distributions of sample means are examined for samples of size 9, 16, 25, and 36 from a non-Normal population, you will notice that as n increases in size, the shape of the sampling distribution appears more like that of the _____________________.

• A.

Sample distribution

• B.

Uniform distribution

• C.

Population distribution

• D.

Normal distribution.

D. Normal distribution.
Explanation
from a non-Normal population, you will notice that as n increases in size, the shape of the sampling distribution appears more like that of the Normal distribution.

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• 35.

### Consider the theoretical sampling distribution of sample means based on samples of size 50 from a uniform (flat) population where the population mean=70 and population standard deviation =10.The mean of the theoretical sampling distribution of sample means

• A.

Is greater than 70 because of the skewness.

• B.

Is close to but not equal to 70.

• C.

Is exactly equal to 70.

• D.

Cannot be determined.

C. Is exactly equal to 70.
Explanation
The mean of all the sample means=the population mean.

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• 36.

### Consider the theretical smpling distribution of sample means based on samples of size 50 from a uniform (flat) population where the population mean=70 and population standard deviation =10.The standard deviation of the theoretical sampling distribution of sample means

• A.

Is less than 10.

• B.

Is exactly equal to 10.

• C.

Is greater than 10.

• D.

Cannot be determined.

A. Is less than 10.
Explanation
stdev of x-bar=sigma/sqrt(n)=10/sqrt(50)=1.41 < 10

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• 37.

### Consider the theoretical sampling distribution of sample means based on samples of size 50 from a uniform (flat) population where the population mean=70 and population standard deviation =10.The shape of the theoretical sampling distribution of sample means is

• A.

Approximately Normal.

• B.

Right skewed.

• C.

Left skewed.

• D.

Flat or uniform.

A. Approximately Normal.
Explanation
If n>=30 and the population in non-normal, the shape of the sampling distribution for x-bar is normal.

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• 38.

### Andy, Samantha, Britt, and Christine have each taken a random sample of single students from BYU to estimate the variability in amount spent on dates this semester. Andy asked 15 people, Samantha 25, Britt 40, and Christine 50. Whose sample standard deviation probably differs most from the population standard deviation?

• A.

Andy

• B.

Samantha

• C.

Britt

• D.

Christine

A. Andy
Explanation
From the law of large numbers, the sample stdev will be closer to the population stdev the larger the sample size, just like the sample mean will be closer to the population mean as the sample size increases.

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• 39.

### Andy, Samantha, Britt, and Christine have each taken a random sample of single students from BYU to estimate the variability in amount spent on dates this semester. Andy asked 15 people, Samantha 25, Britt 40, and Christine 50. Whose sample standard deviation probably differs the least from the population standard deviation?

• A.

Andy

• B.

Samantha

• C.

Britt

• D.

Christine

D. Christine
Explanation
From the law of large numbers, the sample stdev will be closer to the population stdev the larger the sample size, just like the sample mean will be closer to the population mean as the sample size increases.
Please note that we are not talking about the standard deviation of the sampling distribution.

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• 40.

### Assuming the scales on the x and y axis are the same for all graphs, which of the following shows a weak positive relationship.Edit Quiz / Quiz School - Create Free Quizzes

• A.

A

• B.

B

• C.

C

• D.

D

C. C
Explanation
The more scattered the points from an imaginary line, the weaker the correlation.

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• 41.

### In the Casino Royale movie, James Bond played a card game called Baccarat. He wins by playing in a specified manner. Which of the following is true about the probability of winning the game?

• A.

It can be computed from the number of ways the 52 cards can be dealt.

• B.

It is impossible to compute.

• C.

It is approximated by playing lots of times and dividing the number of times you win by the number of times you play.

• D.

It is ,007 because this is Bond's number.

C. It is approximated by playing lots of times and dividing the number of times you win by the number of times you play.
Explanation
Probability is the number of success divided by the total possibilities.

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• 42.

### The data in the table below represent distance a shipment must travel and the length of time, in days, it takes the shipment to arrive . The line in the scatterplot is the least squares line: where y-hat is the predicted length of time and x=distance of shipment, in miles.Interpret the slope of the regression line in context.

• A.

For each additional mile, time in days to deliver the shipment increases by .02 day on average.

• B.

For each additional mile, time in days to deliver the shipment increases by 6.9 days on average

• C.

For each additional day, there is a 0.02 miles a shipment traveled on the average.

• D.

For each additional day, there is a 6.9 miles a shipment traveled on the average.

A. For each additional mile, time in days to deliver the shipment increases by .02 day on average.
Explanation
slope is the average increase/decrease in y per one unit change in x.

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• 43.

### The data in the table below represent distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at month. The line in the scatterplot is the least squares line: where y-hat is the predicted length of time and x=distance of shipment, in miles. For these data r2 = 83.7%. Interpret r2in context.

• A.

Eighty-three point seven percent of delivery time is based on distance.

• B.

Distance explains 83.7% of the variation in delivery time.

• C.

Distance can be used to predict delivery time about 83.7% of the time.

• D.

Delivery time can be used to predict distance about 83.7% of the time.

B. Distance explains 83.7% of the variation in delivery time.
Explanation
r^2 is the percent variation in y that can be explained by x.

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• 44.

### The data in the table below represent distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at month. The line in the scatterplot is the least squares line: where y-hat is the predicted length of time and x=distance of shipment, in miles. Why is the line on the scatter plot the least squares line?

• A.

The distances of the points to the line are as small as possible.

• B.

The sum of the squared residuals is as small as possible.

• C.

The predicted shipping time are identical to the actual shipping time used to determine the line.

• D.

The sum of the deviations of the shipping days from the mean shipping days is minimized

• E.

The predicted shipping days is as small as possible.

B. The sum of the squared residuals is as small as possible.
Explanation
the least squares line is The sum of the squared residuals is as small as possible.

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• 45.

### The data in the table below represent distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at month. The line in the scatterplot is the least squares line: where y-hat is the predicted length of time and x=distance of shipment, in miles. The distance of a package to be shipped is 500 miles. What is the predicted delivery time in days?

• A.

6.9 days

• B.

.02 day

• C.

3.1 days

• D.

Cannot be computed.

C. 3.1 days
Explanation
y=-6.9+.02(500) = 3.1

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• 46.

### The data in the table below represent distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at month. The line in the scatterplot is the least squares line: where y-hat is the predicted length of time and x=distance of shipment, in miles. Seattle is 2984 shipping miles from Cleveland, Ohio. Should you use this least squares equation to predict the shipping days?

• A.

No, because we do not know whether the deviation will be positive or negative.

• B.

No, because Seattle is much farther away than any other observed city in the data set.

• C.

Yes, because the predicted value is reasonable.

• D.

Yes, because the increase in shipping days is the same for each shipping mile.

B. No, because Seattle is much farther away than any other observed city in the data set.
Explanation
Do not use the least squares equation to predict y when x is outside the range of the data. This is called extrapolation.

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• 47.

### Researchers recorded facts about 100 dates, including cost spent on date and number of hugs they gave each other on a date. The linear model relating cost spend on date and the number of hugs the couple gave each other is predicted number of hugs = 3.5 + 1.5cost. Based only on the given information, what can be said about the correlation between cost spend on date and the number of hugs the couple gave each other?

• A.

The correlation is 0.

• B.

The correlation is 1.5

• C.

The correlation 3.5

• D.

The correlation is positive, but we cannot say what the exact value is.

• E.

It is impossible to say anything about the correlation from the information given.

D. The correlation is positive, but we cannot say what the exact value is.
Explanation
The slope has the same sign as the correlation.

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• 48.

### Referring to the scatterplot below, what is the best guess for the value of the correlation coefficient r between the explanatory and response variables?

• A.

0.85

• B.

0.45

• C.

-0.85

• D.

-0.45

• E.

0.35

C. -0.85
Explanation
This has a negative correlation.

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• 49.

### Which one of the following is a FALSE statement about the correlation coefficient r?

• A.

R is affected by outliers.

• B.

Values of r range from -1 to +1.

• C.

The correlation r has no unit of measure.

• D.

If the sign of r is negative, then increases in one variable are associated with decreases in the other variable.

• E.

The designations of which is the explanatory variable and which is the response variable cannot be interchanged.

E. The designations of which is the explanatory variable and which is the response variable cannot be interchanged.
Explanation
We get the same correlation even if we interchange the explanatory and the response variables.

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• 50.

### How does the correlation coefficient r for the data in Plot A compares with the correlation coefficient for the data in Plot B?

• A.

R in Plot A is less than r in Plot B.

• B.

R in Plot A is greater than r in Plot B.

• C.

R in Plot A is equal to r in Plot B.

• D.

R in Plot A is not comparable with r in Plot B.

• E.

Not enough information exists to compare the two r's.

A. R in Plot A is less than r in Plot B.
Explanation
Outliers lower the correlation.

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• Current Version
• Mar 21, 2023
Quiz Edited by
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• Jul 06, 2009
Quiz Created by
Doriarg

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