Answer:
4
Step-by-step explanation:
The answer is 4
Answer:
-1.683
Step-by-step explanation:
Given :
Group 1 :
x1 = 667 ; n1 = 10 ; s1 = 20
Group 2 :
x2 = 679 ; n2 = 14 ; s2 = 15
The test statistic assuming equal variance :
x1 - x2 / √[Sp² * (1/n1 + 1/n2)]
sp² = [(n1 - 1)*s1² + (n2 - 1)*s2²] ÷ (n1 + n2 - 2)
Sp² = [(10 - 1)*20² + (14 - 1)*15²] = 296.59
Test statistic =
(667 - 679)/ √[296.59 * (1/10 + 1/14)]
-12 / 7.1304978
Test statistic = - 1.682
Answer:
17 1/2
Step-by-step explanation:
17 2/4 is the given and 2/4 is equivalent to one half so the answer is 17 1/2.
Hopefully you understand it now.
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!
