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Vera_Pavlovna [14]
3 years ago
10

Consider the polynomial below.

Mathematics
1 answer:
kotykmax [81]3 years ago
3 0

Answer:

(-4x - 2)(-5x) + (-4x - 2)(3)  

Step-by-step explanation:

Your polynomial is

(-4x - 2)(-5x + 3)

The distributive property states that

a(b + c) = ab + ac

Let a = -4x - 2.  Then

(-4x - 2)(-5x + 3) = a(5x + 3) = a(-5x) + a(3)

Substitute the value of a.

a(-5x) + a(3) = (-4x - 2)(-5x) + (-4x - 2)(3)

You have just distributed the first binomial (-4x - 2) among the terms of the second binomial.

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A minority representation group accuses a major bank of racial discrimination in its recent hires for financial analysts. Exactl
erma4kov [3.2K]

Answer:

a) 0.16

b) 0.0518

c) P(p \leq 0.15) = 0.4247

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.

For a proportion p in a sample of size n, we have that the mean is \mu = p and the standard deviation is \sigma = \sqrt{\frac{p(1-p)}{n}}

In this problem, we have that:

p = 0.16, n = 50

a. Find the mean of p, where p is the proportion of minority member applications in a random sample of 2100 that is drawn from all applications.

The mean of p is 0.16.

b. Find the standard deviation of p.

\sigma = \sqrt{\frac{0.16*0.84}{50}} = 0.0518

c. Compute an approximation for P ( p leq 0.15), which is the probability that there will be 15% or fewer minority member applications in a random sample of 2100 drawn from all applications. Round your answer to four decimal places.

This is the pvalue of Z when X = 0.15. So

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

Z = \frac{0.15 - 0.16}{0.0518}

Z = -0.19

Z = -0.19 has a pvalue of 0.4247

P(p \leq 0.15) = 0.4247

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Answer:

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