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lorasvet [3.4K]
2 years ago
10

#13 Please answer the question

Mathematics
1 answer:
stiv31 [10]2 years ago
8 0

Answer:

C is the right answer

Step-by-step explanation:

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Hours of Practice
Elenna [48]

Answer:a

Step-by-step explanation:hope this helps

4 0
3 years ago
Read 2 more answers
Susan had $45 in her bank account in March. In May she had $135.
Fynjy0 [20]
A. 135 B. 45 C. 45 I believe or A and B are switched... so ( A. 45, B. 135)
6 0
2 years ago
Consider the probability that greater than 94 out of 153 people will not get the flu this winter. Assume the probability that a
Hatshy [7]

Answer:

0.8212 = 82.12% probability that greater than 94 out of 153 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:

p = 0.65, n = 153. So

\mu = E(X) = 153*0.65 = 99.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{153*0.65*0.35} = 5.9

Consider the probability that greater than 94 out of 153 people will not get the flu this winter

This probability is 1 subtracted by the pvalue of Z when X = 94. So

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

Z = \frac{94 - 99.45}{5.9}

Z = -0.92

Z = -0.92 has a pvalue of 0.1788

1 - 0.1788 = 0.8212

0.8212 = 82.12% probability that greater than 94 out of 153 people will not get the flu this winter.

7 0
3 years ago
The sum of negative eighteen and a number is eleven. What is the number?
Oksanka [162]

Answer:

29

Step-by-step explanation:

-18 (Negative Eighteen) = A

29 (Positive Twenty Nine) = B

11 (Positive Eleven) = C


First, make A positive, and add C to it. You get B.

Now here is the equation:

-18 + (18 + 11)


-18 + (29)


11

5 0
3 years ago
Is this linear or exponential? or neither
Brrunno [24]

Answer:

Exponential

Step-by-step explanation:

3 0
2 years ago
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