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aksik [14]
3 years ago
11

$570, 2%, 6 months - Help, I don’t get how to do it.

Mathematics
1 answer:
Phantasy [73]3 years ago
8 0

Answer:

$641.91

Step-by-step explanation:

A(t) = 570(1+0.02)^6

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A labor economist is interested in the proportion of new Ph.D.’s in economics who are female. He contacts a random sample of 100
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Answer:

\hat p =0.5 -1.28 \sqrt{\frac{0.5}{100}}=0.4359

Step-by-step explanation:

1) Data given and notation

n=100 represent the random sample taken

X=40 represent the female new Ph.D.’s in economics

\hat p=\frac{40}{100}=0.4 estimated proportion of female new Ph.D.’s in economics

p_o=0.5 is the value that we want to test

\alpha=0.1 represent the significance level

Confidence=90% or 0.90

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 given by: the null hypothesis that the proportion of new Ph.D.’s in economics who are female is at least 0.5, against the alternative hypothesis that it is les.:  

Null hypothesis:p\geq 0.5  

Alternative hypothesis:p < 0.5  

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.

3) Calculate the statistic  

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

z=\frac{0.4 -0.5}{\sqrt{\frac{0.5(1-0.5)}{100}}}=-2  

4) Critical value

For this case we can find the critical value with the normal standard distribution we need a value that accumulates 0.1 of the area on the left tail. And we can find it with the following excel code :"=NORM.INV(0.1;0;1)". And the critical value owuld be z_{\alpha/2}=-1.28.

Now in order to find the critical value in terms of p we know this:

z = \frac{\hat p -p_0}{\sqrt{\frac{p_0 (1-p_0)}{n}}}

and replacing the values that we got :

-1.28 = \frac{\hat p -0.5}{\sqrt{\frac{0.5 (1-0.5)}{100}}}

And solving for \hat p we got:

\hat p =0.5 -1.28 \sqrt{\frac{0.5}{100}}=0.4359

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