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Oliga [24]
2 years ago
9

Help please guys thanks

Mathematics
2 answers:
MAVERICK [17]2 years ago
8 0

Answer:

D

Step-by-step explanation:

if it was properly typed, it would have been All of the above but the most correct option is D.

ss7ja [257]2 years ago
6 0

Answer:

D

Step-by-step explanation:

sqrt_{4}(81)^5=(81^(5))^(1/4)=81^(5/4)

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ASAP WILL MARK BRAINLYEST TO FIRST PERSON WHO ANSWERS!!!
Flura [38]
15x + 7y + 45x + 22y
= 60x + 29y

answer
A.  60x + 29y
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2 years ago
△ABC has interior angles with measures x°, 90°, and 70°, and △DEF has interior angles with measures y°, 70°, and 20°. Using the
DerKrebs [107]
The letter answer is d
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3 years ago
Consider the data set
Serhud [2]
Answer: 3.496

Explanation: You find the mean, which is 57.714. Next, you subtract the mean from each number in the dataset, |55 - 57.714|, |59 - 57.714|, etc. You then add all of those numbers together and divide them by the amount of numbers like you would determining the mean. This gives you 3.496. Also sorry for taking so long to respond I’m on my phone and cannot type as fast as I would on pc.
7 0
1 year ago
Which expression is equivalent to the following complex fraction?
Virty [35]

Answer:

  \dfrac{-4x+7}{2(x-2)}

Step-by-step explanation:

Write the terms of numerator and denominator using a common denominator.

  \dfrac{\dfrac{3}{x-1}-4}{2-\dfrac{2}{x-1}}=\dfrac{\left(\dfrac{3-4(x-1)}{x-1}\right)}{\left(\dfrac{2(x-1)-2}{x-1}\right)}}=\boxed{\dfrac{-4x+7}{2(x-2)}}

7 0
2 years ago
Read 2 more answers
A random sample of 40 binomial trials resulted in 14 successes. test the claim that the population proportion of successes does
mylen [45]

Using the z-distribution, since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

<h3>What are the hypotheses tested?</h3>

At the null hypotheses, we test if the proportion of successes equals 0.5, hence:

H_0: p = 0.5

At the alternative hypotheses, we test if it does not equal, hence:

H_1: p \neq 0.5

<h3>What is the test statistic?</h3>

The test statistic is given by:

z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}

In which:

  • \overline{p} is the sample proportion.
  • p is the proportion tested at the null hypothesis.
  • n is the sample size.

For this problem, the parameters are given by:

n = 40, \overline{p} = \frac{14}{40} = 0.35, p = 0.5

Hence the test statistic is given by:

z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}

z = (0.35 - 0.5)/(0.5/sqrt(40))

z = -1.9.

<h3>What is the decision?</h3>

Using a z-distribution calculator, considering a two-tailed test, as we are testing if the proportion is different of a value, with z = -1.9, we get that the p-value of the test is of 0.057.

Since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

More can be learned about the z-distribution at brainly.com/question/16313918

#SPJ4

5 0
1 year ago
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