A) See picture for the table.
To make the table, multiply 47774 by 1.5% to get total that have diabetes and multiply 5855 by 2.5% to get total unemployed that have it, then using subtraction fill in the other squares of the table.
B)
Hypothesis:
H0: No association between employment and diabetes.
H1: Association between the two
Using a graphing calculator or Excel, run a chi-test.
Chi squared equals 31.844 with 1 degrees of freedom.
The two-tailed P value is less than 0.0001
With this information we can reject the null hypothesis and conclude there is an association between diabetes and employment.
C)
Although there is a statistical significance, there really is no practical significance between an incidence rate of 1.5 or 2.5%
The answer would be A. 39,300.
I got this by multiplying 34,500 by 2% and getting 690. Since 2018 is 7 years away from 2025, I multiplied 690 by 7 getting 4,830. I added the 4,830 to the original population of 34,500 and got my answer, 39,300. Hope I helped!
Log[8/(36*3)]
Log[2/27]
Hope I really help you !
<h2>
Greetings!</h2>
Answer:
Step-by-step explanation:
You need to remember the following equation:
Where a and b is the lengths of the two sides and c is the hypotenuse.
So simply plug these values into this:
36 + 49 = h^2
36 + 49 = 85
So the hypotenuse is the square root of 85:
<h2>Hope this helps!</h2>
Ou should not increase to more than 12 miles next week<span>; ... </span>25 miles<span> a </span>week<span>, usually a 7 </span>milerun<span> ... before I </span>run<span> a half. Using that method</span>
