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kondaur [170]
2 years ago
11

The scores of students on a standardized test are normally distributed with a mean of 300 and a standard deviation of 40. (a) wh

at proportion of scores lie between 220 and 380 points?
Mathematics
1 answer:
vredina [299]2 years ago
7 0

0.9544 = 95.44% of scores lie between 220 and 380 points.

Normal distribution problems can be solved using the Z-score formula.

With a set of means and standard deviations, the Z-score for measure X is given by: After finding the Z-score, look at the Z-score table to find the p-value associated with that Z-score. This p-value is the probability that the value of the measure is less than X. H. Percentile of X. Subtract 1 from the p-value to get the probability that the value of the measure is greater than X.

z = \frac{x - \mu}{\sigma} \,

We are given mean 300, standard deviation 40.

This means that µ= 300, σ = 40

What proportion of scores lie between 220 and 380 points?

This is the p-value of Z when X = 380 subtracted by the p-value of Z when X = 220.

X = 380

z = \frac{x - \mu}{\sigma} \,

Z= (380-300)/40

Z= 2

Z=2 has a p-value of 0.9772.

X=300

z = \frac{x - \mu}{\sigma} \,

Z= (220-380)/40

Z=-2

Z=-2 has a p-value of 0.9772.

0,9772 - 0,0228 = 0,9544

0.9544 = 95.44% of scores lie between 220 and 380 points.

For more information about normal distribution, visit brainly.com/question/4079902

#SPJ1

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Answer:

Due to the higher Z-score, Kamala had the best GPA when compared to other students at her school.

Step-by-step explanation:

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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.

In this question:

Whichever student's GPA had the higher z-score had the best GPA compared to other students.

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This means that X = 2.5, \mu = 3.2, \sigma = 0.8

The z-score is:

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

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This means that X = 88, \mu = 75, \sigma = 20

The z-score is:

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

Z = \frac{88 - 75}{20}

Z = 0.65

Kamala 8.9 8 0.4

This means that X = 8.9, \mu = 8, \sigma = 0.4

The z-score is:

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

Z = \frac{8.9 - 8}{0.4}

Z = 2.25

Due to the higher Z-score, Kamala had the best GPA when compared to other students at her school.

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