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BARSIC [14]
3 years ago
5

Write the first four terms of sequence Rule:start at 28.6, subtract 3.1

Mathematics
1 answer:
Gekata [30.6K]3 years ago
6 0

28.6, 25.5, 22.4, 19.3... hope this helps!!

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(3 x 10e-4) ( 3 x 10e7)
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The answer is 9000..
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Find the value of x.
Cerrena [4.2K]
x^2 + (x + 3)^2 = (\sqrt{117})^2

x^2 + x^2 + 6x + 9 = 117

2x^2 + 6x -108 = 0

x^2 + 3x - 54 = 0

(x + 9)(x - 6) = 0

x + 9 = 0 ~~or~~ x - 6 = 0

x = -9 ~~ or~~ x = 6

Since the side of a triangle cannot have a negative length, we discard the solution x = -9.

Answer: x = 6
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3 years ago
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Find the area of the shape shown below.<br> 10<br> 20<br> 4
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10 because it makes the most sense

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3 years ago
Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a
dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

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)}.

In this problem, we have that:

n = 145, p = 0.61

So

\mu = E(X) = np = 145*0.61 = 88.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{145*0.61*0.39} = 5.87

Consider the probability that no less than 96 out of 145 people will not get the flu this winter.

More than 95 people, which is the same as 1 subtracted by the pvalue of Z when X = 95. So

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

Z = \frac{95 - 88.45}{5.87}

Z = 1.115

Z = 1.115 has a pvalue of 0.8676

1 - 0.8676 = 0.1324

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

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3 years ago
What statement is true for life insurance coverage?
Semmy [17]

Answer: is that ur child?

Step-by-step explanation:

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3 years ago
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