Do wearable devices that monitor diet and physical activity help people lose weight? Researchers had 237 subjects, already involved in a program of diet and exercise, use wearable technology for 24 months. They measured their weight (in kilograms) before using the technology and 24 months after using the technology. (a) Explain why the proper procedure to compare the mean weight before using the wearable technology and 24 months after using the wearable technology is a matched pairs t test. Choose the correct explanation. A) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test. B) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test. C) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test. D) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test. (b) The 237 differences in weight (weight after 24 months minus weight before using the wearable technology) are x¯=−3.5 and s=7.8 . Let μ be the mean weight difference (weight after 24 months minus weight before using the wearable technology). Complete the test to see if there is significant evidence of a reduction in weight after using the wearable technology. What is the correct null and alternative hypothesis? Select an answer choice. A) H0:μ<0 versus Ha:μ=0 B) H0:μ=0 versus Ha:μ≠0 C) H0:μ=0 versus Ha:μ<0 D) H0:μ>0 versus Ha:μ<0 What is the test statistic t ? (Enter your answer rounded to three decimal places.) t= What is the P‑value? Select an answer choice. A) P>0.05 B) P<0.0001 C) P=0.0001 D) P>0.01 Select the correct interpretation of the results based on your analysis. A) There is an extreme amount of evidence that there is a decrease in average weight after wearing the device. B) There is an extreme amount of evidence that there is an increase in average weight after wearing the device. C) There is a small amount of evidence that there is a decrease in average weight after wearing the device. D) There is an not enough evidence that there is a decrease in average weight after wearing the device.
Do wearable devices that monitor diet and physical activity help people lose weight? Researchers had 237 subjects, already involved in a program of diet and exercise, use wearable technology for 24 months. They measured their weight (in kilograms) before using the technology and 24 months after using the technology. (a) Explain why the proper procedure to compare the mean weight before using the wearable technology and 24 months after using the wearable technology is a matched pairs t test. Choose the correct explanation. A) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test. B) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test. C) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test. D) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test. (b) The 237 differences in weight (weight after 24 months minus weight before using the wearable technology) are x¯=−3.5 and s=7.8 . Let μ be the mean weight difference (weight after 24 months minus weight before using the wearable technology). Complete the test to see if there is significant evidence of a reduction in weight after using the wearable technology. What is the correct null and alternative hypothesis? Select an answer choice. A) H0:μ<0 versus Ha:μ=0 B) H0:μ=0 versus Ha:μ≠0 C) H0:μ=0 versus Ha:μ<0 D) H0:μ>0 versus Ha:μ<0 What is the test statistic t ? (Enter your answer rounded to three decimal places.) t= What is the P‑value? Select an answer choice. A) P>0.05 B) P<0.0001 C) P=0.0001 D) P>0.01 Select the correct interpretation of the results based on your analysis. A) There is an extreme amount of evidence that there is a decrease in average weight after wearing the device. B) There is an extreme amount of evidence that there is an increase in average weight after wearing the device. C) There is a small amount of evidence that there is a decrease in average weight after wearing the device. D) There is an not enough evidence that there is a decrease in average weight after wearing the device.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
Do wearable devices that monitor diet and physical activity help people lose weight? Researchers had 237 subjects, already involved in a program of diet and exercise, use wearable technology for 24 months. They measured their weight (in kilograms) before using the technology and 24 months after using the technology.
(a) Explain why the proper procedure to compare the mean weight before using the wearable technology and 24 months after using the wearable technology is a matched pairs t test. Choose the correct explanation.
A) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test.
B) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test.
C) A person's weight before and after wearing the device would be independent; thus, the data from this before and after study should not be analyzed using a matched pairs ?t test.
D) A person's weight before and after wearing the device would not be independent; thus, the data from this before and after study should be analyzed using a matched pairs ?t test.
(b) The 237 differences in weight (weight after 24 months minus weight before using the wearable technology) are x¯=−3.5 and s=7.8 . Let μ be the mean weight difference (weight after 24 months minus weight before using the wearable technology).
Complete the test to see if there is significant evidence of a reduction in weight after using the wearable technology.
What is the correct null and alternative hypothesis? Select an answer choice.
A) H0:μ<0 versus Ha:μ=0
B) H0:μ=0 versus Ha:μ≠0
C) H0:μ=0 versus Ha:μ<0
D) H0:μ>0 versus Ha:μ<0
What is the test statistic t ? (Enter your answer rounded to three decimal places.)
t=
What is the P‑value? Select an answer choice.
A) P>0.05
B) P<0.0001
C) P=0.0001
D) P>0.01
Select the correct interpretation of the results based on your analysis.
A) There is an extreme amount of evidence that there is a decrease in average weight after wearing the device.
B) There is an extreme amount of evidence that there is an increase in average weight after wearing the device.
C) There is a small amount of evidence that there is a decrease in average weight after wearing the device.
D) There is an not enough evidence that there is a decrease in average weight after wearing the device.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
Knowledge Booster
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.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman