In: Statistics and Probability
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?
GIVEN:
Sample size of cell phone users
Number of cell phone users who developed brain cancer
HYPOTHESIS:
The hypothesis is given by,
(That is, cell phone users develop brain cancer at a rate that is not significantly different from the rate of 0.0340% for people who do not use cell phones.)
(That is, cell phone users develop brain cancer at a rate that is significantly different from the rate of 0.0340% for people who do not use cell phones.)
LEVEL OF SIGNIFICANCE:
TEST STATISTIC:
which follows standard normal distribution
where
is the sample proportion of cell phone users who developed brain cancer
is the hypothesized value .
CALCULATION:
The sample proportion of cell phone users who developed brain cancer is,
Now,
Thus the test statistic is .
P VALUE:
The two tailed p value for the calculated z score is,
Using the z table, the probability value is the value with corresponding row 3.2 and column 0.01.
Thus the calculated p value is .
DECISION RULE:
CONCLUSION:
Since the calculated p value (0.0014) is less than the significance level , we reject null hypothesis and conclude that cell phone users develop brain cancer at a rate that is significantly different from the rate of 0.0340% for people who do not use cell phones.