Question

In: Statistics and Probability

Caraline is interested in estimating the proportion of students at a certain college who have at least two written final exams.

Caraline is interested in estimating the proportion of students at a certain college who have at least two written final exams. She takes a random sample and finds that 60 of the 75 students she surveyed did indeed have at least 2 written finals. Compute a 99% confindence interval for her and interpret it.

Solutions

Expert Solution

 

Point estimate = sample proportion = = x / n = 60 / 75 = 0.8

1 - = 1 - 0.8 = 0.2

Z/2 = Z0.005 = 2.576

Margin of error = E = Z / 2 * (( * (1 - )) / n)

= 2.576 (((0.8 * 0.2) / 75)

= 0.119

A 99% confidence interval for population proportion p is ,

± E

0.8 ± 0.119

(0.681 , 0.919)

We are 99% confident that the true proportion of students at a certain college who have at least two written final exams. between 0.681 and 0.919.


Related Solutions

1. We are interested in estimating the proportion of students at a university who smoke. Out...
1. We are interested in estimating the proportion of students at a university who smoke. Out of a random sample of 200 students from this university, 40 students smoke. (1) Calculate a 95% confidence interval for the proportion of students at this university who smoke and interpret this interval in context. (2) If we wanted the margin of error to be no larger than 2% at a 95% confidence level for the proportion of students who smoke, how big of...
You are interested in the time students usually spend studying for the final exams. Assume that...
You are interested in the time students usually spend studying for the final exams. Assume that the total study time during the final week in the semester among students is approximately Normally distributed with mean= 12 hours and a standard deviation = 4.4 hours . You initially plan to take a simple random sample of size n=50 and compute the average total study time. What standard deviation of x do you need such that the margin of error for the...
The head of a computer science department is interested in estimating the proportion of students entering...
The head of a computer science department is interested in estimating the proportion of students entering the department who will choose the new computer engineering option. A preliminary sample indicates that the proportion will be around 0.208. What size sample should the department head take if she wants to be 95% confident that the estimate is within 0.02 of the true proportion?   
We are interested in studying the performance of college students on statistics exams. In any given...
We are interested in studying the performance of college students on statistics exams. In any given semester, there are hundreds of students taking statistics in the department of psychology, mathematics, business, or other related departments that offer a course on statistics. We randomly select 20 students from the roster of all students enrolled in statistics for the spring semester and administer questionnaires throughout the semester, as well as collect their assignment and exam grades. In our first analysis, we are...
A regional hardware chain is interested in estimating the proportion of their customers who own their...
A regional hardware chain is interested in estimating the proportion of their customers who own their own homes. There is some evidence to suggest that the proportion might be around 0.70. Given this, what sample size is required if they wish a 90 percent confidence level with a margin of error of ± .025? About 355 Almost 1,300 Approximately 910 100
Question 15 (1 point) It is believed that students who begin studying for final exams a...
Question 15 (1 point) It is believed that students who begin studying for final exams a week before the test score differently than students who wait until the night before. Suppose you want to test the hypothesis that students who study one week before score greater than students who study the night before. A hypothesis test for two independent samples is run based on your data and a p-value is calculated to be 0.0428. What is the appropriate conclusion? Question...
We are interested in estimating the proportion of graduates at a mid-sized university who found a...
We are interested in estimating the proportion of graduates at a mid-sized university who found a job within one year of completing their undergraduate degree. We can do so by creating a 95% confidence interval for the true proportion p. Suppose we conduct a survey and find out that 340 of the 430 randomly sampled graduates found jobs within one year. Assume that the size of the population of graduates at this university is large enough so that all our...
10. Suppose the proportion of all college students who have changed their major in the last...
10. Suppose the proportion of all college students who have changed their major in the last two semesters is 60%. If a class of 200 students is considered. What is the probability that the proportion of students who may change their major in the next 2 semesters are more than 115?  
suppose the proportion of all college students who have used marijuana in the past 6months is...
suppose the proportion of all college students who have used marijuana in the past 6months is p=0.40 in a class of 200 students that are representative of all college students would it be unusual for the proportion who have used marijuana in the past 6 months to be less than 0.32? Explain how you made your decision in this question
We are interested in estimating the proportion of graduates from Lancaster University who found a job...
We are interested in estimating the proportion of graduates from Lancaster University who found a job within one year of completing their undergraduate degree. Suppose we conduct a survey and find out that 354 of the 400 randomly sampled graduates found jobs. The number of students graduating that year was over 4000. (a) State the central limit theorem. (b) Why is the central limit theorem useful? (c) What is the population parameter of interest? What is the point estimate of...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT