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11Alexandr11 [23.1K]
2 years ago
8

Nina and Amy began arguing about who did better on their tests, but they couldn't decide who did better given that they took dif

ferent tests. Nina took a test in English and earned a 71.8, and Amy took a test in Social Studies and earned a 60.7. Use the fact that all the students' test grades in the English class had a mean of 71.7 and a standard deviation of 11.7, and all the students' test grades in Social Studies had a mean of 60.6 and a standard deviation of 10.5 to answer the following questions.
a) Calculate the z-score for Nina's test grade.
b) Calculate the z-score for Amy's test grade.
c) Which person did relatively better?
i. Nina
ii. Amy
iii. They did equally well.
Mathematics
1 answer:
Ilia_Sergeevich [38]2 years ago
6 0

Answer:

a) Z = 0.0085

b) Z = 0.0095

c)  ii. Amy

Step-by-step explanation:

Z-score:

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Question a:

Nina took a test in English and earned a 71.8. In the English class had a mean of 71.7 and a standard deviation of 11.7.

This means that X = 71.8, \mu = 71.7, \sigma = 11.7

So

Z = \frac{X - \mu}{\sigma}

Z = \frac{71.8 - 71.7}{11.7}

Z = 0.0085

Question b:

Amy took a test in Social Studies and earned a 60.7. Students' test grades in Social Studies had a mean of 60.6 and a standard deviation of 10.5.

This means that X = 60.7, \mu = 60.6, \sigma = 10.5

So

Z = \frac{X - \mu}{\sigma}

Z = \frac{60.7 - 60.6}{10.5}

Z = 0.0095

c) Which person did relatively better?

Amy had a higher z-score, so she did relatively better.

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Answer:

Due to the higher z-score, he did better on the SAT.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

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