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GaryK [48]
2 years ago
3

William discovers that the number of nuts in a bag of cashews is normally distributed with mean 42 and standard deviation 4. If

he buys 200 bags, how many of them can he expect to contain fewer than 34 nuts?
Mathematics
1 answer:
lukranit [14]2 years ago
7 0

Answer:

4.56, so he should expect between 4 and 5 of them to contain fewer than 34 nuts.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

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.

Mean 42 and standard deviation 4.

This means that \mu = 42, \sigma = 4

Proportion with fewer than 34 nuts:

p-value of Z when X = 34. So

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

Z = \frac{34 - 42}{4}

Z = -2

Z = -2 has a p-value of 0.0228.

Out of 200 bags:

0.0228*200 = 4.56.

4.56, so he should expect between 4 and 5 of them to contain fewer than 34 nuts.

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Given a normal distribution with u = 75 and o = 40, if you select a sample of n = 16, a) what is the probability that the sample
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Answer:

a) 0.0228

b) 94.6

Step-by-step explanation:

The formula for calculating a z-score when you are given a random.number of samples is z = (x-μ)/σ/√n

where x is the raw score

μ is the population mean

σ is the population standard deviation

n = random number of samples

Given a normal distribution with u = 75 and o = 40, if you select a sample of n = 16,

a) what is the probability that the sample mean is above 95? (4 d.p.) b)

= x = 95

Hence:

z = 95 - 75/40/√16

= 20/40/4

= 20/10

= 2

Probability value from Z-Table:

P(x<95) = 0.97725

P(x>95) = 1 - P(x<95) = 0.02275

The probability that the sample mean is above 95 to 4 decimal places = 0.0228

b) What is the value, of which there is 97.5% chance that a sample mean is less than that value?

97.5% chance = z score for the confidence interval = 1.96

Hence:

z = (x-μ)/σ/√n

1.96 = x - 75/40/√16

1.96 = x - 75/ 40/4

1.96 = x - 75/10

Cross Multiply

1.96 × 10 = x - 75

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x = 19.6 + 75

x = 94.6

The value, of which there is 97.5% chance that a sample mean is less than that value is 94.6

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