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alina1380 [7]
3 years ago
12

Solve (x+1<5) n(x - 4 > -3).

Mathematics
1 answer:
vodka [1.7K]3 years ago
4 0

Answer:

− 3/ x − 4  < x < 4

Step-by-step explanation:

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Even though the population standard deviation is unknown, an investigator uses z rather than the more appropriate t to test a hy
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The true true level of significance of this test is more than 0.01.

Step-by-step explanation:

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The annual salaries of employees in a large company are approximately normally distributed with a mean of $50,000 and a standard
Anna35 [415]

Answer:

a) 30.85% of people earn less than $40,000

b) 37.21% of people earn between $45,000 and $65,000.

c) 15.87% of people earn more than $70,000

Step-by-step explanation:

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:

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 = 50000, \sigma = 20000

a.What percent of people earn less than $40,000?

This is the pvalue of Z when X = 40000. So

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

Z = \frac{40000 - 50000}{20000}

Z = -0.5

Z = -0.5 has a pvalue of 0.3085.

30.85% of people earn less than $40,000

b.What percent of people earn between $45,000 and $65,000?

This is the pvalue of Z when X = 65000 subtracted by the pvalue of Z when X = 45000. So

X = 65000

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

Z = \frac{65000 - 50000}{20000}

Z = 0.75

Z = 0.75 has a pvalue of 0.7734.

X = 45000

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

Z = \frac{45000 - 50000}{20000}

Z = -0.25

Z = -0.25 has a pvalue of 0.4013.

0.7734 - 0.4013 = 0.3721

37.21% of people earn between $45,000 and $65,000.

c.What percent of people earn more than $70,000?

This is 1 subtracted by the pvalue of Z when X = 70000. So

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

Z = \frac{70000 - 50000}{20000}

Z = 1

Z = 1 has a pvalue of 0.8413.

1 - 0.8413 = 0.1587

15.87% of people earn more than $70,000

3 0
2 years ago
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