Answer:
25
Step-by-step explanation:
Answer: b. 3
Step-by-step explanation:
We know that , the indicator variable is a dummy variable in regression analysis which is used to denote either presence ( by 1 ) or absence ( by 0 ) of a nominal variable that can be responsible for the change in output.
Number of indicator variables = (all levels in the original variable)-1
Here , the given categories as per the location are northeast, northwest, southeast, or southwest.
i.e. all levels in the original variable = 4
Then, the umber of indicator variables we need = 4-1 =3
Hence, we need 3 indicator variables.
Thus , the correct answer is b. 3.
Answer:
Step-by-step explanation:
In the two independent samples application, it involves the test of hypothesis that is the difference in population means, μ1 - μ2. The null hypothesis is always that there is no difference between groups with respect to means.
Null hypothesis: ∪₁ = ∪₂. where ∪₁ represent the mean of sample 1 and ∪₂ represent the mean of sample 2.
A researcher can hypothesize that the first mean is larger than the second (H1: μ1 > μ2 ), that the first mean is smaller than the second (H1: μ1 < μ2 ), or that the means are different (H1: μ1 ≠ μ2 ). These ae the alternative hypothesis.
Thus for the z test:
if n₁ > 30 and n₂ > 30
z = X₁ - X₂ / {Sp[√(1/n₁ + 1/n₂)]}
where Sp is √{ [(n₁-1)s₁² + (n₂-1)s₂²] / (n₁+n₂-2)}
