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eimsori [14]
3 years ago
7

12 + 6 − 4 ÷ (2 + 5)

Mathematics
1 answer:
astra-53 [7]3 years ago
7 0

Answer:

2

Step-by-step explanation:

14 / (7)

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You should go ask your teach because i am not sure
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Someone give me the answer plz i need it sooo bad i don’t want to fail help thank you so much
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Answer:

D 2x+x+3x

Step-by-step explanation:

Ian has 2 apples

Jordan has 1 apple

Kate has 3 apples

2apples+1apple + 3 apples

Apples is replaced with x

2x+1x+ 3x

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Question 15 of 23
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Draw a graph of the compound inequality: x<5 x < 5 and x≥−1 x ≥ − 1 , and describe the set of x-values that will satisfy it with an interval. Show Solution.

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3 years ago
Let f(x) = x - 2 and g(x) = x2 - 7x - 9. Find f(g(-1)).
Murljashka [212]
f(g(-1))=(-1)^2-7\cdot(-1)-9-2=1+7-11=-3
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4 years ago
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A simple random sample of 90 analog circuits is obtained at random from an ongoing production process in which 25% of all circui
kozerog [31]

Answer:

76.10% probability that between 19 and 28 circuits in the sample are defective

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 90, p = 0.25

So

\mu = E(X) = np = 90*0.25 = 22.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{90*0.25*0.75} = 4.11

P(19 ≤ X ≤ 28)

Using continuity correction, this is P(19-0.5 \leq X \leq 28+0.5) = P(18.5 \leq X \leq 28.5), which is the pvalue of Z when X = 28.5 subtracted by the pvalue of Z when X = 18.5. So

X = 28.5

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

Z = \frac{28.5 - 22.5}{4.11}

Z = 1.46

Z = 1.46 has a pvalue of 0.9279

X = 18.5

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

Z = \frac{18.5 - 22.5}{4.11}

Z = -0.97

Z = -0.97 has a pvalue of 0.1669

0.9279 - 0.1669 = 0.7610

76.10% probability that between 19 and 28 circuits in the sample are defective

8 0
3 years ago
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