Homework Help is Here – Start Your Trial Now!
Math
Statistics
A fitness trainer teaches an exercise class that is adjacent to an ice cream shop. The ice cream shop wants to attract more customers so they provide coupons for a free milkshake. The trainer randomly selects students as they enter the class and asks them if they would like a coupon for a free milkshake. Only 5% of the students take her up on her offer. Based on the random sample, a 90% confidence interval for the true proportion of her students that would want a free milkshake is between 1% and 9%. What is one potential source of bias in the study that is not accounted for by the margin of error? Nonresponse. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Nonresponse. The students may turn down the free milk shake (even those who truly want it) because they are being offered it from their trainer and want to appear dedicated to their fitness goals. Undercoverage. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Response bias. The students may turn down the free milkshake (even those who truly want it) because they are being offered the milkshake coupon from their trainer and want to appear dedicated to their fitness goals. There is no bias in this study.

A fitness trainer teaches an exercise class that is adjacent to an ice cream shop. The ice cream shop wants to attract more customers so they provide coupons for a free milkshake. The trainer randomly selects students as they enter the class and asks them if they would like a coupon for a free milkshake. Only 5% of the students take her up on her offer. Based on the random sample, a 90% confidence interval for the true proportion of her students that would want a free milkshake is between 1% and 9%. What is one potential source of bias in the study that is not accounted for by the margin of error? Nonresponse. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Nonresponse. The students may turn down the free milk shake (even those who truly want it) because they are being offered it from their trainer and want to appear dedicated to their fitness goals. Undercoverage. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Response bias. The students may turn down the free milkshake (even those who truly want it) because they are being offered the milkshake coupon from their trainer and want to appear dedicated to their fitness goals. There is no bias in this study.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
A fitness trainer teaches an exercise class that is adjacent to an ice cream shop. The ice cream shop wants to attract more customers so they provide coupons for a free milkshake. The trainer randomly selects students as they enter the class and asks them if they would like a coupon for a free milkshake. Only 5% of the students take her up on her offer. Based on the random sample, a 90% confidence interval for the true proportion of her students that would want a free milkshake is between 1% and 9%. What is one potential source of bias in the study that is not accounted for by the margin of error? Nonresponse. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Nonresponse. The students may turn down the free milk shake (even those who truly want it) because they are being offered it from their trainer and want to appear dedicated to their fitness goals. Undercoverage. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Response bias. The students may turn down the free milkshake (even those who truly want it) because they are being offered the milkshake coupon from their trainer and want to appear dedicated to their fitness goals. There is no bias in this study.
Transcribed Image Text:A fitness trainer teaches an exercise class that is adjacent to an ice cream shop. The ice cream shop wants to attract more customers so they provide coupons for a free milkshake. The trainer randomly selects students as they enter the class and asks them if they would like a coupon for a free milkshake. Only 5% of the students take her up on her offer. Based on the random sample, a 90% confidence interval for the true proportion of her students that would want a free milkshake is between 1% and 9%. What is one potential source of bias in the study that is not accounted for by the margin of error? Nonresponse. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Nonresponse. The students may turn down the free milk shake (even those who truly want it) because they are being offered it from their trainer and want to appear dedicated to their fitness goals. Undercoverage. The true proportion of students that would want the free milkshake would be greater if she didn't leave out all of the people who do not attend her exercise class. Response bias. The students may turn down the free milkshake (even those who truly want it) because they are being offered the milkshake coupon from their trainer and want to appear dedicated to their fitness goals. There is no bias in this study.
Expert Solution
Step 1

In statistical inference an investigator wants to know about the population parameters. But for practical purposes one may not observe the whole population and collect data. A part of the population that represents it, is called a sample. In estimating a parameter on basis of sample observations some errors may occur. One such is a bias that is the systematic deviation from the parameter.

trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS