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Solved: Job Interviews In a Harris poll of 514 human
Chapter 7, Problem 24BSC(choose chapter or problem)
Problem 24BSC
Job Interviews In a Harris poll of 514 human resource professionals, 90% said that the appearance of a job applicant is most important for a good first impression.
a. Among the 514 human resource professionals who were surveyed, how many of them said that the appearance of a job applicant is most important for a good first impression?
b. Construct a 99% confidence interval estimate of the proportion of all human resource professionals believing that the appearance of a job applicant is most important for a good first impression.
c. Repeat part (b) using a confidence level of 80%.
d. Compare the confidence intervals from parts (b) and (c) and identify the interval that is wider. Why is it wider?
Questions & Answers
QUESTION:
Problem 24BSC
Job Interviews In a Harris poll of 514 human resource professionals, 90% said that the appearance of a job applicant is most important for a good first impression.
a. Among the 514 human resource professionals who were surveyed, how many of them said that the appearance of a job applicant is most important for a good first impression?
b. Construct a 99% confidence interval estimate of the proportion of all human resource professionals believing that the appearance of a job applicant is most important for a good first impression.
c. Repeat part (b) using a confidence level of 80%.
d. Compare the confidence intervals from parts (b) and (c) and identify the interval that is wider. Why is it wider?
ANSWER:Solution 24BSC
a)
Compute the number of human resource professionals who appearance of a job applicant is most important for a good first impression.. That is we have to calculate the value of x.
We know that,
Therefore, the number of human resource professionals is 463.
b)
Construct the 99% confidence interval for the given data.
The 99% confidence interval for the population proportion p is given by,
First compute the value of the margin of error E, use 99% confidence level.
The margin of error is found by using the formula
with ,