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%
Y = 1
This the answer just trust
I think that
Every point is moved so that it is 2/3 as far from the y axis
should be the answer
Answer:
H₀: μs = μf
H₁: μs ≠ μf
Step-by-step explanation:
Hello!
If the company wants to compare the sales of both departments "snacks" and "frozen foods" to see if there is any difference, the best is to compare the average number of sales of them.
Then the parameters of interest will be:
μs= average number of sales of the "snacks" department.
μf= average number of sales of the "frozen food" department.
The objective is to test if there is any difference between both departments, then the hypothesis should be two-tailed:
H₀: μs = μf
H₁: μs ≠ μf
I hope it helps!