Answer:
The standard error of the sample proportion is closest to 1%
Step-by-step explanation:
Standard error of the sample proportion is given as
σₓ = √[p(1-p)/n]
where
p = sample proportion = estimated to be 23% = 0.23
n = Sample size = 2500
σₓ = √[p(1-p)/n]
σₓ = √[0.23×0.77/2500]
σₓ = 0.0084166502 = 0.00842
σₓ = 0.00842 = 0.842%
Hence, it is easy to see that the standard error of the sample proportion is closest to 1%.
Hope this Helps!!!
Answer:
9
Step-by-step explanation:
it just is
Answer:
(6, 5) will be the point after the rule is applied
Answer
R ~ 0.03
Explanation
For Pearson’s Product Correlation Coefficient, an R value can only be in the range of -1 to +1.
-1 = perfect negative correlation
+1 = Perfect positive correlation
Values in between and approaching 0 means there is weak to no correlation.