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jonny [76]
3 years ago
13

If y = 12 when x = 6, determine y when x = 18 write an equation

Mathematics
1 answer:
Aleksandr [31]3 years ago
4 0
If y=12 when x=6, then y=36 when x=18 by the equation y=2x.
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Simplify by dividing -5/8 divided by -3/4
aleksandr82 [10.1K]

Answer:

-5/6

Step-by-step explanation:

7 0
3 years ago
Please help. Approximately how many cubic feet of water does she need?
maria [59]

Answer:

The amount of water she needs to pump in:

V = Base area x Height x 1/2 = (4/2)^2 x pi x 0.75 x 1/2 = 1.5pi = ~4.7 (ft3)

=> Option D is correct.

Hope this helps!

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3 0
3 years ago
The average July rainfall in a city is 7 inches , but the actual rainfall may vary by as much as 4 inches. What is the range , i
Lady_Fox [76]
The answer is C. (too lazy to explain how sorry)
8 0
3 years ago
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The probability of flu symptoms for a person not receiving any treatment is 0.038. In a clinical trial of a common drug used to
alexgriva [62]

Answer:

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

Step-by-step explanation:

I am going to use the normal approximation to the binomial 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 = 1164, p = 0.038

So

\mu = E(X) = np = 1164*0.038 = 44.232

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = 6.5231

Estimate the probability that at least 47 people experience flu symptoms.

Using continuity correction, this is P(X \geq 47 - 0.5) = P(X \geq 46.5), which is 1 subtracted by the pvalue of Z when X = 46.5.

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

Z = \frac{46.5 - 44.232}{6.5231}

Z = 0.35

Z = 0.35 has a 0.6368

1 - 0.6368 = 0.3632

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

6 0
2 years ago
6 Monica reads 15 pages of a mystery book in 9 minutes. What is
Ivan

Answer:

135

Step-by-step explanation:

15 x 9 = 135

3 0
3 years ago
Read 2 more answers
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