In a psychology journal, researchers reported that a chief executive officer's facial structure can be used to predict a firm's financial performance. The study involved measuring the facial width-to-height ratio (WHR) for each in a sample of 69 CEOS at publicly traded Fortune 500 firms. These WHR values (determined by computer analyzing a photo of the CEo's face) had a mean of x= 2.03 and a standard deviation of s= 0.17. Use this information to complete parts a and b below. a. Find and interpret a 90% confidence interval for u, the mean facial WHR for all CEOS at publicly traded Fortune 500 firms. (Round to three decimal places as needed.) O A. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for all CEOS at publicly traded Fortune 500 firms is between and with 90% confidence. O B. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for the CEOS in the sample is between and with 90% confidence. O C. The 90% confidence interval for mean facial WHR score indicates that 90% of CEOS in the sample have a WHR between and O D. The 90% confidence interval for mean facial WHR indicates that 90% of all CEOS at publicily traded Fortune 500 firms have a WHR between and b. The researchers found that CEOS with wider faces (relative to height) tended to be associated with firms that had greater financial performance. They based their inference on an equation that uses facial WHR to predict financial performance. Suppose an analyst wants to predict the financial performance of a Fortune 500 firm based on the value of the true mean facial WHR of CEOS. The analyst wants to use the value of u = 2.2. Do you recommend the use this value? O A. No, since the suggested value of u does not lie within the confidence interval from part a, it is not reasonable to assume that it is the true mean facial WHR of CEOS. O B. No, since the suggested value of u would be a usual value to obtain in a sample of 69 CEOS, it is not reasonable to assume that it is the true mean facial WHR of CEOS. O C. Yes, since the suggested value of u lies within the confidence interval from part a, it is reasonable to assume that it is the true mean facial WHR of CEOS. O D. Yes, since the suggested value of u would be a usual value to obtain in a sample of 69 CEO,, it is reasonable to assume that it is the true mean facial WHR of CEOS.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Topic Video
Question
In a psychology journal, researchers reported that a chief executive officer's facial structure can be used to predict a firm's financial performance. The study involved measuring the facial width-to-height ratio (WHR) for each in a
sample of 69 CEOS at publicly traded Fortune 500 firms. These WHR values (determined by computer analyzing a photo of the CEO's face) had a mean of x= 2.03 and a standard deviation of s = 0.17. Use this information to
complete parts a and b below.
a. Find and interpret a 90% confidence interval for u, the mean facial WHR for all CEOS at publicly traded Fortune 500 firms.
(Round to three decimal places as needed.)
O A. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for all CEOS at publicly traded Fortune 500 firms is between
and
with 90% confidence.
O B. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for the CEOS in the sample is between
and
with 90% confidence.
O C. The 90% confidence interval for mean facial WHR score indicates that 90% of CEOS in the sample have a WHR between
and
O D. The 90% confidence interval for mean facial WHR indicates that 90% of all CEOS at publicly traded Fortune 500 firms have a WHR between
and
b. The researchers found that CEOS with wider faces (relative to height) tended to be associated with firms that had greater financial performance. They based their inference on an equation that uses facial WHR to predict
financial performance. Suppose an analyst wants to predict the financial performance of a Fortune 500 firm based on the value of the true mean facial WHR of CEOS. The analyst wants to use the value of u = 2.2. Do you
recommend the use this value?
O A. No, since the suggested value of u does not lie within the confidence interval from part a, it is not reasonable to assume that it is the true mean facial WHR of CEOS.
O B. No, since the suggested value of u would be a usual value to obtain in a sample of 69 CEOS, it is not reasonable to assume that it is the true mean facial WHR of CEOS.
O C. Yes, since the suggested value of u lies within the confidence interval from part a, it is reasonable to assume that it is the true mean facial WHR of CEOS.
O D. Yes, since the suggested value of u would be a usual value to obtain in a sample of 69 CEOS, it is reasonable to assume that it is the true mean facial WHR of CEOS.
Transcribed Image Text:In a psychology journal, researchers reported that a chief executive officer's facial structure can be used to predict a firm's financial performance. The study involved measuring the facial width-to-height ratio (WHR) for each in a sample of 69 CEOS at publicly traded Fortune 500 firms. These WHR values (determined by computer analyzing a photo of the CEO's face) had a mean of x= 2.03 and a standard deviation of s = 0.17. Use this information to complete parts a and b below. a. Find and interpret a 90% confidence interval for u, the mean facial WHR for all CEOS at publicly traded Fortune 500 firms. (Round to three decimal places as needed.) O A. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for all CEOS at publicly traded Fortune 500 firms is between and with 90% confidence. O B. The 90% confidence interval for mean facial WHR indicates that the true mean facial WHR for the CEOS in the sample is between and with 90% confidence. O C. The 90% confidence interval for mean facial WHR score indicates that 90% of CEOS in the sample have a WHR between and O D. The 90% confidence interval for mean facial WHR indicates that 90% of all CEOS at publicly traded Fortune 500 firms have a WHR between and b. The researchers found that CEOS with wider faces (relative to height) tended to be associated with firms that had greater financial performance. They based their inference on an equation that uses facial WHR to predict financial performance. Suppose an analyst wants to predict the financial performance of a Fortune 500 firm based on the value of the true mean facial WHR of CEOS. The analyst wants to use the value of u = 2.2. Do you recommend the use this value? O A. No, since the suggested value of u does not lie within the confidence interval from part a, it is not reasonable to assume that it is the true mean facial WHR of CEOS. O B. No, since the suggested value of u would be a usual value to obtain in a sample of 69 CEOS, it is not reasonable to assume that it is the true mean facial WHR of CEOS. O C. Yes, since the suggested value of u lies within the confidence interval from part a, it is reasonable to assume that it is the true mean facial WHR of CEOS. O D. Yes, since the suggested value of u would be a usual value to obtain in a sample of 69 CEOS, it is reasonable to assume that it is the true mean facial WHR of CEOS.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Centre, Spread, and Shape of a Distribution
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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