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SashulF [63]
3 years ago
5

Is 35 ,000.00 in the 30,000.00 to 40,000.00 range?

Mathematics
1 answer:
Alika [10]3 years ago
3 0
It would be in the 40,000,00 range 
         Hope this helps
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Find the coordinates of the midpoint AB. 1) ( -2,4), (4,0) THANK YOU!! And it's worth a lot of points if I get it right.
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A researcher classifies firefighters according to whether their gloves fit well or poorly and by gender. They want to know if th
snow_tiger [21]

Answer:

Step-by-step explanation:

Hello!

The objective is to test if the proportion of "X: gloves fitness, categorized: Fit poorly and Fit well" is the same for two populations of interest, "male firefighters" and "female firefighters"

To do this you have to conduct a Chi-Square test of Homogeneity.

In the null hypothesis you have to state that the proportion of the  categories of the variable are the same for all the populations of interest.

Be

M: the firefighter is male

F: the firefighter is female

Y: represents the category that the gloves "fit poorly"

W: represents the category that the gloves "fit well"

The null hypothesis will be:

H₀: P(Y|M)=P(Y|F)=P(Y)

P(W|M)=P(W|F)=P(W)

H₁: At least one of the statements in the null hypothesis is false.

α: 0.01

To calculate the statistic under the null hypothesis you have to calculate the expected frequencies first:

E_{ij}= O_{.j}*\frac{O_{i.}}{n}

O.j= total of the j-column

Oi.= total of the i-row

n= total of observations

E_{11}= 547*\frac{152}{586} = 141.88

E_{12}=39*\frac{152}{586}= 10.12

E_{21}= 547*\frac{434}{586} = 405.12

E_{22}= 39*\frac{434}{586} = 28.88

X^2= sum \frac{(O_{ij}-E_{ij})^2}{E_{ij}} ~~~X^2_{(r-1)(c-1)}

r= number of rows (in this case 2)

c=number of columns (in this case 2)

X^2_{H_0}= \frac{(132-141.88)^2}{141.88} +\frac{(20-10.12)^2}{10.12} +\frac{(415-405.12)^2}{405.12} +\frac{(19-28.88)^2}{28.88} = 13.95

Using the critical value approach, you have to remember that this test is <em><u>always</u></em> one-tailed to the right, meaning that you'll have only one critical value from which the rejection region is defined:

X^2_{(r-1)(c-1);1-\alpha }= X^2_{1;0.99}= 6.635

The decision rule is then:

If X^2_{H_0} ≥ 6.635, reject the null hypothesis.

If X^2_{H_0} < 6.635, do not reject the null hypothesis.

The calculated value is greater than the critical value, the decision is to reject the null hypothesis.

So at a 1% level you can conclude that this test is significant. This means that the proportions of gloves fitness, categorized in "Fit poorly" and "Fit well" are different for the male and female firefighters populations.

I hope this helps!

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Answer:

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