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Alex73 [517]
3 years ago
5

(a) Given a standard normal distribution, find the area under the curve whichlies(i) to the left ofz= 1.43;(ii) to the right ofz

=−0.89;(iii) betweenz=−2.16 andz=−0.65.(b) Given a standard normal distribution, find the value ofksuch that(i)P(Z < k) = 0.0427(ii)P(Z > k) = 0.2946(iii)P(−0.93< Z < k) = 0.7235
Mathematics
1 answer:
Whitepunk [10]3 years ago
4 0

Answer:

Step-by-step explanation:

Given a standard normal distribution, we can use table to find the probability.

We know that symmetrical about y axis.

a) left of z=1.43 is

b)betweenz=−2.16 andz=−0.65

=P(-2.16

c) (i)P(Z < k) = 0.0427\\k=-1.72(ii)P(Z > k) = 0.2946\\k=0.54(iii)P(−0.93< Z < k) = 0.7235\\0.7235=0.3238+c\\c= 0.3997\\k=1.28

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Answer:

27.88% probability that a random sample of 5 has a mean between 677 and 693.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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:

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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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For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 675, \sigma = 44, n = 5, s = \frac{44}{\sqrt{5}} = 19.6774

The probability that a random sample of 5 has a mean between 677 and 693.

This is the pvalue of Z when X = 693 subtracted by the pvalue of Z when X = 677. So

X = 693

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

By the Central Limit Theorem

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

Z = \frac{693 - 675}{19.6774}

Z = 0.91

Z = 0.91 has a pvalue of 0.8186

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

Z = \frac{677 - 675}{19.6774}

Z = 0.1

Z = 0.1 has a pvalue of 0.5398

0.8186 - 0.5398 = 0.2788

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