Data Sets And Z-scores
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AP Statistics › Data Sets And Z-scores
Your professor gave back the mean and standard deviation of your class's scores on the last exam.
Your friend says the z-score of her exam is .
What did she score on her exam?
Explanation
The z-score is the number of standard deviations above the mean.
We can use the following equation and solve for x.
Two standard deviations above 75 is 85.
All of the students at a high school are given an entrance exam at the beginning of 9th grade. The scores on the exam have a mean of and a standard deviation of
. Sally's z-score is
. What is her score on the test?
Explanation
The z-score equation is .
To solve for we have
.
Your boss gave back the mean and standard deviation of your team's sales over the last month.
Your friend says the z-score of her number of sales is .
How many sales did she make?
Explanation
The z-score is the number of standard deviations above or below the mean.
We can use the known information with the following formula to solve for x.
Your teacher gives you the z-score of your recent test, and says that the mean score was a 60, with a standard deviation of 6. Your z-score was a -2.5. What did you score on the test?
Explanation
To find out your score on the test, we enter the given information into the z-score formula and solve for
.
where
is the z-score,
is the mean, and
is the standard deviation.
As such,
So you scored a on the test.
Your professor gave back the mean and standard deviation of your class's scores on the last exam.
Your friend says the z-score of her exam is .
What did she score on her exam?
Explanation
The z-score is the number of standard deviations above the mean.
We can use the following equation and solve for x.
Two standard deviations above 75 is 85.
All of the students at a high school are given an entrance exam at the beginning of 9th grade. The scores on the exam have a mean of and a standard deviation of
. Sally's z-score is
. What is her score on the test?
Explanation
The z-score equation is .
To solve for we have
.
Your boss gave back the mean and standard deviation of your team's sales over the last month.
Your friend says the z-score of her number of sales is .
How many sales did she make?
Explanation
The z-score is the number of standard deviations above or below the mean.
We can use the known information with the following formula to solve for x.
Your teacher gives you the z-score of your recent test, and says that the mean score was a 60, with a standard deviation of 6. Your z-score was a -2.5. What did you score on the test?
Explanation
To find out your score on the test, we enter the given information into the z-score formula and solve for
.
where
is the z-score,
is the mean, and
is the standard deviation.
As such,
So you scored a on the test.
There are four suspects in a police line-up, and one of them committed a robbery. The suspect is described as "abnormally tall". In this case, "abnormally" refers to a height at least two standard deviations away from the average height. Their heights are converted into the following z-scores:
Suspect 1: 2.3
Suspect 2: 1.2
Suspect 3: 0.2
Suspect 4: -1.2.
Which of the following suspects committed the crime?
Suspect 1
Suspect 2
Suspect 3
Suspect 4
Explanation
Z-scores describe how many standard deviations a given observation is from the mean observation. Suspect 1's z-score is greater than two, which means that his height is at least two standard deviations greater than the average height and thus, based on the description, Suspect 1 is the culprit.
There are four suspects in a police line-up, and one of them committed a robbery. The suspect is described as "abnormally tall". In this case, "abnormally" refers to a height at least two standard deviations away from the average height. Their heights are converted into the following z-scores:
Suspect 1: 2.3
Suspect 2: 1.2
Suspect 3: 0.2
Suspect 4: -1.2.
Which of the following suspects committed the crime?
Suspect 1
Suspect 2
Suspect 3
Suspect 4
Explanation
Z-scores describe how many standard deviations a given observation is from the mean observation. Suspect 1's z-score is greater than two, which means that his height is at least two standard deviations greater than the average height and thus, based on the description, Suspect 1 is the culprit.