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3 years ago

Does anyone know about this one? I appreciate you guys helping me((:

Mathematics

2 answers:

LenaWriter [7]3 years ago

6 0

For your question the answer is B.

 Hope this helps:)

ratelena [41]3 years ago

6 0

your answer is b hope i helpedd

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10. A cliff on the seashore is eroding at the rate of 17 centimeters per year. Write and solve an equation to find the number of

My name is Ann [436]

Answer:

17x=85

Step-by-step explanation:

X is the number in which you'd multiply 17 by to equal 85, therefore x = the number of years.

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3 years ago

8 x 9 = 8 x(5+ _) = (8 x 5) + (8 x _) = 40 + _ = _

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Answer:

Step-by-step explanation:

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3 years ago

1. Simplify: a. -2(4ab3)2 b. 6a-5 * 2a4 SHOW ALL WORK PLEASE THANK YOU!

marusya05 [52]

A. $-2(4ab^{3} )^{2}$
$-2(16a^{2}b^{6})$
$-32a^{2}b^{6}$

b. $6a^{-5} * 2a^{4}$
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4 years ago

Read 2 more answers

6÷1/5 = A. 1 1/5 B. 1/5 C. 5/36 D. 30

trasher [3.6K]

Answer:

D. 30

Step-by-step explanation:

6 ÷ 1/5 -given expression

6 x 5 -use the keep, change, flip method, where you keep the first number, change the division sign to a multiplication sign, and flip the fraction that comes after the symbol.

6 x 5 = 30

30 is the answer

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3 years ago

A simple random sample of 110 analog circuits is obtained at random from an ongoing production process in which 20% of all circu

telo118 [61]

Answer:

64.56% probability that between 17 and 25 circuits in the sample are defective.

Step-by-step explanation:

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 $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .