(b) What are the standard deviations of battery life for the two samples? (Round your answers to two decimal places.) Primary Use: Talking hours hours Primary Use: Internet (c) Conduct the hypothesis test and compute the p-value. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = Using a 0.05 level of significance, what is your conclusion? O Reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Do not reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Do not reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application.
(b) What are the standard deviations of battery life for the two samples? (Round your answers to two decimal places.) Primary Use: Talking hours hours Primary Use: Internet (c) Conduct the hypothesis test and compute the p-value. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = Using a 0.05 level of significance, what is your conclusion? O Reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Do not reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application. O Do not reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the Internet application.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
Related questions
Question
Only parts B and C please. Thank you.
Transcribed Image Text:(b) What are the standard deviations of battery life for the two samples? (Round your answers to two decimal places.)
Primary Use: Talking
hours
hours
Primary Use: Internet
(c) Conduct the hypothesis test and compute the p-value.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
Using a 0.05 level of significance, what is your conclusion?
Reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the
Internet application.
Do not reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use
for the Internet application.
Reject Ho. We cannot conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for the
Internet application.
Do not reject Ho. We can conclude that the population variance in battery hours of use for the talk time application is larger than the population variance in battery hours of use for
the Internet application.
Transcribed Image Text:Battery life is an important issue for many smartphone owners. Public health studies have examined "low-battery anxiety" and acute anxiety called nomophobia that results when a
smartphone user's phone battery charge runs low and then dies.+ Suppose battery life between charges for a particular smartphone averages 31 hours when the primary use is talk time and
10 hours when the primary use is Internet applications. Because the mean hours for talk time usage is greater than the mean hours for Internet usage, the question was raised as to whether
the variance in hours of usage is also greater when the primary use is talk time. Sample data showing battery life between charges for the two applications follows.
Primary Use: Talking
35.8 22.2 24.0 32.6 18.5
28.0 23.8 30.0 22.8 19.3 35.5
Primary Use: Internet
14.0 11.5 16.4 11.9
6.4 11.0 15.2 4.0
1
2
Ho: 01 S
(a) Formulate hypotheses about the two population variances that can be used to determine if the population variance in battery life is greater for the talk time application. (Consider the
talk time use as population 1 and Internet use as population 2.)
2
Ho: o
2
>02
2
2
H₂: 0₂²50₂²
01
2
Ha: 01
2
02
>02
=
2
2
2
Ho: 01
Ha: 01
Ho: 0₁² #0₂²
01
Ha: 0₁²
2
2
=
2
02
2
02
02
2
43.5
02
9.9 3.1
4.7
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