Question
In: Statistics and Probability
In a study of 420 comma 083 cell phone users, 139 subjects developed cancer of the...
In a study of 420 comma 083 cell phone users, 139 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.001 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution.
What is the test statistic?
Determine the P-value.
Use the results of the hypothesis test to conclude whether evidence exists to support the original claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of those who use them
Solutions
orchestra answered 2 years agoRelated Solutions
In a study of 420 comma 073 cell phone users, 110 subjects developed cancer of the...
In a study of 420 comma 073 cell phone users, 110 subjects
developed cancer of the brain or nervous system. Test the claim of
a somewhat common belief that such cancers are affected by cell
phone use. That is, test the claim that cell phone users develop
cancer of the brain or nervous system at a rate that is different
from the rate of 0.0340% for people who do not use cell phones.
Because this issue has such great importance,...
A study of 420 comma 059 cell phone users found that 130 of them developed cancer...
A study of 420 comma 059 cell phone users found that 130 of them
developed cancer of the brain or nervous system. Prior to this
study of cell phone use, the rate of such cancer was found to be
0.0438% for those not using cell phones. Complete parts (a) and
(b). a. Use the sample data to construct a 90% confidence interval
estimate of the percentage of cell phone users who develop cancer
of the brain or nervous system.
2....
In a study of 420,009 cell phone users found that 139 of them developed cancer of...
In a study of 420,009 cell phone users found that 139 of them
developed cancer of the brain or nervous system. Prior to this
study of cell phone use, the rate of such cancer was found to be
0.0439% for those not using cell phones. Complete parts (a) and
(b).
a. Use the sample data to construct a 95% confidence interval
estimate of the percentage of cell phone users who develop cancer
of the brain or nervous system.
% <...
In a study of 420,087 cell phone users, 108 subjects developed cancer of the brain or...
In a study of 420,087 cell phone users, 108 subjects developed
cancer of the brain or nervous system. Test the claim of a somewhat
common belief that such cancers are affected by cell phone use.
That is, test the claim that cell phone users develop cancer of the
brain or nervous system at a rate that is different from the rate
of 0.0340% for people who do not use cell phones. Because this
issue has such great importance, use a...
In a study of 420,122 cell phone users, 103 subjects developed cancer of the brain or...
In a study of 420,122 cell phone users, 103 subjects developed
cancer of the brain or nervous system. Test the claim of a somewhat
common belief that such cancers are affected by cell phone use.
That is, test the claim that cell phone users develop cancer of
the brain or nervous system at a rate that is different from the
rate of 0.0340% for people who do not use cell phones. Because
this issue has such great importance, use a...
In a study of 420,095 Danish cell phone users, 135 subjects developed cancer of the brain...
In a study of 420,095 Danish cell phone users, 135 subjects
developed cancer of the brain or nervous system (based on data from
the Journal of the National Cancer Institute as reported
by US Today). The claim is that cell phone users develop
cancer of the brain or nervous system at a rate that is greater
than the rate of 0.034% (0.00034) for people that do not use cell
phones.
1. What can you conclude by comparing the 95% Confidence...
11. In a study of 420,055 cell phone users, 150 subjects developed cancer of the brain...
11.
In a study of 420,055 cell phone users, 150 subjects developed
cancer of the brain or nervous system. Test the claim of a somewhat
common belief that such cancers are affected by cell phone use.
That is, test the claim that cell phone users develop cancer of
the brain or nervous system at a rate that is different from the
rate of 0.0340% for people who do not use cell phones. Because
this issue has such great importance, use...
n a study of 420,112 cell phone users, 110 subjects developed cancer of the brain or...
n a study of
420,112 cell phone users, 110 subjects developed cancer of the
brain or nervous system. Test the claim of a somewhat common belief
that such cancers are affected by cell phone use. That is, test
the claim that cell phone users develop cancer of the brain or
nervous system at a rate that is different from the rate of
0.0340% for people who do not use cell phones. Because this issue
has such great importance, use a...
In a study of 420,079 cell phone users, 133 subjects developed cancer of the brain or nervous system.
In a study of 420,079 cell phone users, 133 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a...
In a study of 420,017 cell phone users,180 subjects developed brain cancer. Test the claim that...
In a study of 420,017 cell phone users,180 subjects developed
brain cancer. Test the claim that cell phone users develop brain
cancer at a rate that is different from the rate of 0.0340% for
people who do not use cell phones. Because this issue has such
great importance, use a 0.005 significance level. Use this
information to answer the following questions.
What is the test statistic?
What is the P-value?
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