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Kazeer [188]
2 years ago
13

How much wood could a woodchuck chuck if a woodchuck could chuck wood?

Mathematics
1 answer:
jeka57 [31]2 years ago
4 0

Answer:

nun wood chucks cant chuck wood

Step-by-step explanation:

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Find the area of each triangle.<br> 1.) Show your work.
WARRIOR [948]

Answer:

24

Step-by-step explanation:

The base of a triangle 6

The height of the triangle 8

The face of a triangle=(6*8)/2

(6*8)/2=24

4 0
2 years ago
Simplify:<br> The square root of p squared
Evgen [1.6K]

Answer:

p

Step-by-step explanation:

\sqrt{p^2} = p

3 0
2 years ago
What number is 10 more than 237
xxTIMURxx [149]
247 is 10 more than 237
5 0
3 years ago
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Recent survey data indicated that 14.2% of adults between the ages of 25 and 34 live with their parents. Their parents must have
astraxan [27]

Answer:

38.76% probability that between 13 and 17 of these young adults lived with their parents

Step-by-step explanation:

I am going to use the normal approxiation 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:

p = 0.142, n = 125

So

\mu = E(X) = np = 125*0.142 = 17.75

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{125*0.142*0.858} = 3.9025

What is the probability that between 13 and 17 of these young adults lived with their parents?

Using continuity correction, this is P(13 - 0.5 \leq X \leq 17 + 0.5) = P(12.5 \leq 17.5), which is the pvalue of Z when X = 17.5 subtracted by the pvalue of Z when X = 12.5. So

X = 17.5

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

Z = \frac{17.5 - 17.75}{3.9025}

Z = -0.06

Z = -0.06 has a pvalue of 0.4761

X = 12.5

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

Z = \frac{12.5 - 17.75}{3.9025}

Z = -1.35

Z = -1.35 has a pvalue of 0.0885

0.4761 - 0.0885 = 0.3876

38.76% probability that between 13 and 17 of these young adults lived with their parents

4 0
3 years ago
The ratio of cows to chickens on Jack's farm is 3:5. Choose ALL correct statements that describe this relationship.
mylen [45]

Answer:

A and C

Step-by-step explanation:

He has 3 chickens and 5 cows.

Only 3 chickens and only 5 cows.

6 0
3 years ago
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