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olga55 [171]
3 years ago
6

Solve for x, y, and z. Enter the integer that is under each radical.

Mathematics
1 answer:
Yuliya22 [10]3 years ago
5 0

Answer:

x=\sqrt{10}

y = \sqrt {14}

z = \sqrt {35}

Step-by-step explanation:

By geometric mean theorem:

x=\sqrt{2\times 5}

x=\sqrt{10}

By Pythagoras Theorem:

y^2 = x^2 + 2^2

y^2 = (\sqrt{10}) ^2 + 2^2

y^2 = 10 + 4

y^2 = 14

y = \sqrt {14}

Again by Pythagoras Theorem:

z^2 = x^2 + 5^2

z^2 = (\sqrt{10}) ^2 + 5^2

z^2 = 10 + 25

z^2 = 35

z = \sqrt {35}

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Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

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

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
Someone help me please!!!!!
goldfiish [28.3K]
First you are using the pothagorean theorem which is a^2+b^2=c^2. You have a and b, so you should plug them in to get 4^2+4^2=c^2. Then simplify it some more to 16+16=c^2. Now finish simplifying to c^2=32. Now take the square root of each side and you have your answer. So your answer will be c=√32 or c is about 5.66.
6 0
3 years ago
find the equation of the line that goes through the line that has a slope of 9 and passes through the point 3,-2
Finger [1]

Answer:

y=9x-29

Step-by-step explanation:

8 0
3 years ago
Cual es el valor de la X 3(x+4)=-5x-36
earnstyle [38]

Answer:

X=-6

Step-by-step explanation:

8 0
3 years ago
What is 10 exponent 2+24 divided (12-2 exponent 3)???
pychu [463]

Answer:

106

Step-by-step explanation:

I am almost 100% sure that that is the correct answer, it's been a long time since I have worked with exponents lol.

Hope this helps and please feel free to comment, give feedback, ask questions, and correct me if I am wrong!

Have a great day!

:)

8 0
2 years ago
Read 2 more answers
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