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tia_tia [17]
4 years ago
9

4.18m-58.53=16.72 what is m?

Mathematics
1 answer:
Advocard [28]4 years ago
6 0
First add 58.53 to 16.72. You get 75.25
Then divided 75.25 by 4.18 and you get the value of <em>m</em>. So, 75.25÷4.18=18.002 (it keeps going; check on a calculator for full answer).


hope this helps
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Answer:

Null hypothesis:p=0.7  

Alternative hypothesis:p \neq 0.7  

z=\frac{0.775 -0.7}{\sqrt{\frac{0.7(1-0.7)}{755}}}=4.50  

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Step-by-step explanation:

1) Data given and notation

n=755 represent the random sample taken

X=585 represent the adults that said that said that it is morally wrong to not report all income on tax returns.

\hat p=\frac{585}{755}=0.775 estimated proportion of adults that said that said that it is morally wrong to not report all income on tax returns.

p_o=0.7 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that 70% of adults say that it is morally wrong to not report all income on tax returns.:  

Null hypothesis:p=0.7  

Alternative hypothesis:p \neq 0.7  

When we conduct a proportion test we need to use the z statisitc, 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.

3) Calculate the statistic  

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

z=\frac{0.775 -0.7}{\sqrt{\frac{0.7(1-0.7)}{755}}}=4.50  

4) Statistical decision  

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The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

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