Answer:
And the best option for this case would be:
A. 0.050 to 0.112.
Step-by-step explanation:
Data given
represent the real population proportion of who support the cnadite for the northern half state
represent the estimated proportion of who support the candidate for the northern half state
is the sample size required the northern half state
represent the real population proportion of who support the candidate for the southern half state
represent the estimated proportion of people who support the candidate for the southern half state
is the sample size for the northern half state
represent the critical value
The confidence interval for the difference of two proportions would be given by this formula
For the 95% confidence interval the value of 
and 
, with that value we can find the quantile in the normal standard distribution and we got.
Replacing into the formula we got:
And the best option for this case would be:
A. 0.050 to 0.112.
"<span>How many times more did Carol eat compared to Dima?" is quite different from the previous question, in which you asked "how much more did Carol eat than Dima?" I think they ate 10/25 and 9 /25 of the cake, respectively.
10/25 is greater than 9/25, obviously. We need to calculate "how many times greater is 10/25 than 9/25? So we divide 9/25 INTO 10/25. This comes out to 10/9, or 1.11 times as much. Carol eats 11% more cake than Dima. Hope she doesn't gain too much extra weight. ;)</span>
What question Would that be
Answer:
44580 inches
Step-by-step explanation:
Given, D (diameter)= 22 inches
Therefore, r (radius)= 22/2= 11 inches
Volume= 
×π×r³
=×3.14×22×22×22
=44579.626 inches
=44580 inches
P(B|A) (option B)
Doesn't affect (option A)
P(B|A) = P(B) (option A)
Explanation:
1) Conditional probabilities could be in the form P(A|B) or P(B|A)
P(B|A) is a notation that reads the probability of event B given that event A has occurred.
P(B|A) (option B)
2) Independent events do not affect the outcome of each other
For event A and B to be independent, the probability of event A occurring doesn't affect the the probability of event B occurring
Doesn't affect (option A)
3) Events A and B are independent if the following are satisfied:
P(A|B) = P(A)
P(B|A) = P(B)
The ones that appeared in the option is P(B|A) = P(B) (option A)
