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Andru [333]
3 years ago
5

One last question: Pls answer it.

Mathematics
1 answer:
trasher [3.6K]3 years ago
4 0

Answer:

I think it'd be $975

Step-by-step explanation:

35 times 13 is 455 and 20 times 26 is 520 so then you add 455 and 520

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Out of 22 players in a team, 10 of them have an average height of 1.50m while another 10 have an average height of 1.48m. The re
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Answer:

1.5 meters

Step-by-step explanation:

We know that the sum of all of the data in a set = average * number of data.

Therefore, the sum of the first 10 is 1.5 * 10 = 15 meters, the sum of the second 10 is 1.48 * 10 = 14.8 meters and the sum of the last 2 is 1.6 * 2 = 3.2 meters for a total of 15 + 14.8 + 3.2 = 33 meters. This means that the mean is 33 / 22 = 1.5 meters.

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(Apex 2.2.4 math 8)
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Answer: D

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the door is 2 feet higher than the ground level,  1.5 + .5 = 2 feet change vertically

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Solve the multi step equation
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Use photmath app it will help you out:)
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A group of 10 men who were recently diagnosed with testicular cancer recently gathered to share their feelings and provide mutua
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Based on the Nielsen ratings, the local CBS affiliate claims its 11 p.m. newscast reaches 41% of the viewing audience in the are
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Answer:

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

z=\frac{0.36 -0.41}{\sqrt{\frac{0.41(1-0.41)}{100}}}=-1.017  

Step-by-step explanation:

Data given and notation

n=100 represent the random sample taken

\hat p=0.36 estimated proportion with the survey

p_o=0.41 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is lower than 0.41.:  

Null hypothesis:p\geq 0.41  

Alternative hypothesis:p < 0.41  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

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

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.36 -0.41}{\sqrt{\frac{0.41(1-0.41)}{100}}}=-1.017  

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