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Oduvanchick [21]
3 years ago
8

Let d = 3.

Mathematics
2 answers:
Phoenix [80]3 years ago
6 0
The correct answer would be A.36.

Hope this helps;)
Viktor [21]3 years ago
3 0
Watch out for the order of operations here, the answer is 36
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Can some one help me i have no idea what this is
ahrayia [7]

Answer:

b=-25

Step-by-step explanation:

10= -2/5b

10=      -2/5b

------    -------

-2/5       -2/5b

b=-25

Check:

-2/5(-25)=10

10=10

5 0
3 years ago
Read 2 more answers
An article written for a magazine claims that 78% of the magazine's subscribers report eating healthily the previous day. Suppos
Schach [20]

Answer:

89.44% probability that less than 80% of the sample would report eating healthily the previous day

Step-by-step explanation:

We 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 = 0.78, n = 675

So

\mu = E(X) = np = 675*0.78 = 526.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{675*0.78*0.22} = 10.76

What is the approximate probability that less than 80% of the sample would report eating healthily the previous day?

This is the pvalue of Z when X = 0.8*675 = 540. So

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

Z = \frac{540 - 526.5}{10.76}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

89.44% probability that less than 80% of the sample would report eating healthily the previous day

8 0
3 years ago
What is the value of b in the equation (yb) 4 = 1/24y
Amiraneli [1.4K]
Dear student pls rewrite or send the picture of the question you want the answer of
7 0
3 years ago
Is theres 10 birds and i shoot 1 how many is there left?
bazaltina [42]
There would be 9 birds left. 10-1=9
3 0
3 years ago
Use the compound interest formula to compute the total amount accumulated and the interest earned.
mezya [45]
A=3,500×(1+0.011÷12)^(12×4)
A=3,657.36

Interest earned
=3657.36-3500=157.36
6 0
3 years ago
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