Mathematics, 14.01.2020 04:31 josephvaldez518

Some nations require their students to pass an exam before earning their primary school degrees or diplomas. a certain nation gives students an exam whose scores are normally distributed with a mean of 41 points and a standard deviation of 9 points. suppose we select 2 of these testers at random, and define the random variable d as the difference between their scores. we can assume that their scores are independent. find the probability that their scores differ by more than 15 points.

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Answer from: promcafee8788

0.119 is the probability that their scores differ by more than 15 points.

Step-by-step explanation:

We are given the following in the question:

Mean, μ = 41

Standard Deviation, σ = 9

We are given that the distribution of score is a bell shaped distribution that is a normal distribution.

D is a random variable and defined as the difference between their scores.

$D = X-Y\\\mu_D = E(X)-E(Y) = 41-41 = 0\\ \sigma_D = \sqrt{\sigma_x^2 + \sigma_y^2 } = \sqrt{9^2 + 9^2} = 9\sqrt{2}$

D follows a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

P(scores differ by more than 15 points)

$P(d 15) = P(z \displaystyle\frac{15-0}{9\sqrt{2}}) = P(z 1.1785)\\\\P( z 1.1785) = 1 - P(z \leq 1.1785)$

Calculating the value from the standard normal table we have,

$1 - 0.881 = 0.119 = 11.9\%\\P( d 15) = 11.9\%$

0.119 is the probability that their scores differ by more than 15 points.

Answer from: hardwick744

Using subtraction of normal variables, it is found that there is a 0.238 = 23.8% probability that their scores differ by more than 15 points.

Normal Probability Distribution

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

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

It 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, which is the percentile of measure X.When two normal variables are subtracted, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

In this problem:

Two scores from the same distribution, thus $\mu = 0, \sigma = \sqrt{9^2 + 9^2} = \sqrt{162}$ .

We want to differ by more than 15 points, thus:

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

$Z = \frac{15 - 0}{\sqrt{162}}$

Z = 1.18

This probability is P(|Z| > 1.18), which is 2 multiplied by the p-value of Z = -1.18.

Z = -1.18 has a p-value of 0.119

2(0.119) = 0.238.

0.238 = 23.8% probability that their scores differ by more than 15 points.

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