Answer:
21.0%
Step-by-step explanation:
ANSWER:
INFERENTIAL STATISTICS
STEP-STEP-BY EXPLANATION:
Inferential statistics are mathematical tools for estimating how likely it is that a statistical result based on data from a random sample is representative of the population from which the sample is assumed to have been selected.
It can make inferences from data to more general conditions like
* estimate the degree of confidence that can be placed in generalizations from a sample to the population from which the sample was drawn. (generalize your sample to a larger population)
Answer:
A sample size of 1031 is required.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
The margin of error is of:

37% of freshmen do not visit their counselors regularly.
This means that 
98% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
You would like to be 98% confident that your estimate is within 3.5% of the true population proportion. How large of a sample size is required?
A sample size of n is required.
n is found when M = 0.035. So






Rounding up:
A sample size of 1031 is required.
Answer:
-5 and 20
Step-by-step explanation:
-5 + 20 = 15
-5 * 20 = -100
Answer:
-
Step-by-step explanation: