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kati45 [8]
3 years ago
8

Can someone pls help me . Thank you .

Mathematics
1 answer:
Pavel [41]3 years ago
5 0
Answer:
1). 24
2). 8

Explanation:
1).

285$ - 45$ = 240$
240$/10 = 24$

Therefore, he pays 24$ a month.

2).
Let x be the number than triple:

3x - 5 = 19
3x = 19 + 5
3x = 24
x = 24/3
x = 8
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Multiply what is product 3×10 to the 9th×2×10 to the 17th in scientific notation
dimaraw [331]

Step-by-step explanation:

3^2

18^2 in scientific notation

6 0
4 years ago
A film distribution manager calculates that 7% of the films released are flops. If the manager is correct, what is the probabili
diamong [38]

Answer:

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

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:

p = 0.07, n = 404. So

\mu = E(X) = np = 404*0.07 = 28.28

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{404*0.07*0.93} = 5.13

If the manager is correct, what is the probability that the proportion of flops in a sample of 404 released films would be greater than 4%?

This is the pvlaue of Z when X = 0.04*404 = 16.16. So

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

Z = \frac{16.16 - 28.28}{5.13}

Z = -2.36

Z = -2.36 has a pvalue of 0.0091

1 - 0.0091 = 0.9909

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

7 0
4 years ago
Write in word form and expanded form: 23,876.901
kondor19780726 [428]

Word form:

Twenty-three thousand, eight hundred seventy-six and nine hundred one thousandths.

Expanded form:

20, 000 + 3, 000 + 800 + 70 + 6 + 0.9 + 0.001

6 0
3 years ago
Please help me I’m timed !
Kazeer [188]

Answer: B

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Step-by-step explanation:

5 0
3 years ago
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What is the next step in solving 0 = x2 + 6x – 10 by completing the square, after you cut 6 in half?
Lynna [10]

Answer:

see below

Step-by-step explanation:

0 = x^2 + 6x – 10

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Add 9 to each side

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We use -3 for the square term

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Take the square root of each side

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Add 3 to each side

3±sqrt(19) = x

6 0
3 years ago
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