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Sunny_sXe [5.5K]
4 years ago
11

The Copy Shop has made 20 copies of a document for you. Since the defective rate is 0.1, you think there may be some defective c

opies in your order, so you leaf through the first ten (which are a randomly chosen subset).
If there are 2 defective copies among the 20, what is the probability that you will encounter neither of the defective copies among the 10 you examine?


X = number of copies with a defect


a. X ~ binomial


b. X ~ negative binomial


c. X ~ hypergeometric


d. X ~ Poisson
Mathematics
1 answer:
Pepsi [2]4 years ago
8 0

Answer:

Binomial

There is a 34.87% probability that you will encounter neither of the defective copies among the 10 you examine.

Step-by-step explanation:

For each copy of the document, there are only two possible outcomes. Either it is defective, or it is not. This means that we can solve this problem using the binomial probability distribution.

Binomial probability distribution:

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinatios of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In this problem

Of the 20 copies, 2 are defective, so p = \frac{2}{20} = 0.1.

What is the probability that you will encounter neither of the defective copies among the 10 you examine?

This is P(X = 0) when n = 10.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{10,0}.(0.1)^{0}.(0.9)^{10} = 0.3487

There is a 34.87% probability that you will encounter neither of the defective copies among the 10 you examine.

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4 years ago
Based on data from a​ college, scores on a certain test are normally distributed with a mean of 1530 and a standard deviation of
harkovskaia [24]

Answer:

0.73% of the scores are greater than 2317.

14.46% of the scores are less than 1190.

38.23% of the scores are between 1351 and 1673.

Step-by-step explanation:

Problems of normally distributed samples can be solved using 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.

In this problem, we have that:

\mu = 1530, \sigma = 322

Find the percentage of scores greater than 2317.

This is 1 subtracted by the pvalue of Z when X = 2317. So:

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

Z = \frac{2317 - 1530}{322}

Z = 2.44

Z = 2.44 has a pvalue of 0.9927.

So 1-0.9927 = 0.0073 = 0.73% of the scores are greater than 2317.

Find the percentage of scores less than 1190.

This is the pvalue of Z when X = 1190. So:

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

Z = \frac{1190 - 1530}{322}

Z = -1.06

Z = -1.06 has a pvalue of 0.1446.

So 14.46% of the scores are less than 1190.

Find the percentage of scores between 1351 and 1673.

This is the pvalue of Z when X = 1673 subtracted by the pvalue of Z when X = 1351. So

X = 1673

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

Z = \frac{1673- 1530}{322}

Z = 0.44

Z = 0.44 has a pvalue of 0.67

X = 1351

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

Z = \frac{1351- 1530}{322}

Z = -0.56

Z = -0.56 has a pvalue of 0.2877

So 0.67-0.2877 = 0.3823 = 38.23% of the scores are between 1351 and 1673.

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Answer:

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Step-by-step explanation:

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