Question

In: Statistics and Probability

A particular paper included the accompanying data on the tar level of cigarettes smoked for a...

A particular paper included the accompanying data on the tar level of cigarettes smoked for a sample of male smokers who subsequently died of lung cancer. Assume it is reasonable to regard the sample as representative of male smokers who die of lung cancer. Is there convincing evidence that the proportion of male smoker lung cancer deaths is not the same for the four given tar level categories at the α = .05 level? (Use 2 decimal places.) Tar Level Frequency 0-7:115, 8-14: 350, 15-21: 516, > 22: 178

χ2 =

Solutions

Expert Solution

Null hypothesis H0: Proportion of male smoker lung cancer deaths is same for the four given tar level categories.

Alternative hypothesis Ha: Proportion of male smoker lung cancer deaths is not the same for the four given tar level categories.

Observed frequencies Oi = 115, 350, 516, 178

Total frequency, n = 115 + 350 + 516 + 178 = 1159

If null hypothesis is true, proportion of male smoker lung cancer deaths in each tar level is 1/4 = 0.25

Expected frequencies, E = n * p = 1159 * 0.25 = 289.75

χ2 =

= (115 - 289.75)2 / 289.75 + (350 - 289.75)2 / 289.75 + (516 - 289.75)2 / 289.75 + (178 - 289.75)2 / 289.75

= 337.69

Degree of freedom = k-1 = 4-1 = 3

P-value = P(χ2 > 337.69) = 0.0000

Since p-value is less than 0.05 significance level, we reject null hypothesis H0 and conclude that there is significant evidence that proportion of male smoker lung cancer deaths is not the same for the four given tar level categories.


Related Solutions

The following data have to do with the relationship between maternal smoking (# of cigarettes smoked...
The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day, which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already been calculated for you and are shown below in red font.) Cigarettes Per Day (X) X2    Infant Birth Weight (Y) Y2 XY 2                                                        4                                            7.5                                 56.25                             15.0 6                                                      36                                            7.2                                 51.84                             43.2 10                                                100                                            6.9                                 47.61                             69.0 12                                                  144                                            6.2                                 38.44                             74.4 14                                                196    5.8 33.64 81.2 ∑X = 44                                        ∑X2 = 480                              ∑Y = 33.6                      ∑Y2 =...
1. Tar in cigarettes: Listed below are amounts of tar (mg per cigarette) in sing size...
1. Tar in cigarettes: Listed below are amounts of tar (mg per cigarette) in sing size cigarettes. 100-mm menthol cigarettes, and 100-mm non menthol cigarettes. The king size cigarettes are nonfiltered, nonmenthol, and nonlight. The 100-mm menthol cigarettes are filtered and nonlight. The 100-mm nonmenthol cigarettes are filtered and nonlight. Use a .05 significance level to test the claim that the three categories of cigarettes yield the same mean amount of tar. Given that only the king-size cigarettes are not...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain brand of cigarette. Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it​ best? Is the best regression equation a good regression equation for predicting the nicotine​ content? Why or why​ not? TAR NICOTINE CO 6 0.4 5 15 1.0 18 16 1.3 16 13 0.7 18 13 0.8 18 13 0.9 14 16 1.0 17 16...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain brand of cigarette. Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it​ best? Is the best regression equation a good regression equation for predicting the nicotine​ content? Why or why​ not? Tar   Nicotine   CO 5   0.5   5 17   1.0   19 16   1.1   18 13   0.7   19 13   0.8   18 15   1.1   13 15   1.0   17 16  ...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain...
The accompanying table provides data for​ tar, nicotine, and carbon monoxide​ (CO) contents in a certain brand of cigarette. Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it​ best? Is the best regression equation a good regression equation for predicting the nicotine​ content? Why or why​ not? Tar   Nicotine   CO 5   0.5   3 15   1.0   19 17   1.1   16 14   0.7   19 14   0.8   19 14   1.0   13 15   1.0   16 14  ...
In a poll of 232 adults, it was found that 22% smoked cigarettes in the past...
In a poll of 232 adults, it was found that 22% smoked cigarettes in the past week. Test the claim that less than 25% of adults have smoked within the past week. Use 0.05 significance level Careful: You need to convert percent into decimals. (Round to 2 decimals) Ho : p = Ha : p < z - Test Statistic = (Round to 2 decimals) p - Value = (Round to 4 decimals) Conclusion: There is sufficient evidence to (support...
The accompanying table, MultiLinear Regression 5, provides data for tar, nicotine, and carbon monoxide (CO) contents...
The accompanying table, MultiLinear Regression 5, provides data for tar, nicotine, and carbon monoxide (CO) contents in a certain brand of cigarette. All measurements are in milligrams (mg). MultiLinear Regression 5 Nicotine (Y) Tar (X1) CO (X2) 0.4 5 3 0.9 9 11 0.7 12 18 0.8 13 18 1 16 18 0.6 6 6 0.9 15 18 1.1 15 15 0.8 13 18 1.2 17 16 Part a) Run the Multilinear Regression Analysis in Excel with both predictor variables....
The data in the accompanying table is from a paper. Suppose that the data resulted from...
The data in the accompanying table is from a paper. Suppose that the data resulted from classifying each person in a random sample of 45 male students and each person in a random sample of 92 female students at a particular college according to their response to a question about whether they usually eat three meals a day or rarely eat three meals a day. Usually Eat 3 Meals a Day Rarely Eat 3 Meals a Day Male 25 20...
The accompanying data are the percentage of babies born prematurely in a particular year for the...
The accompanying data are the percentage of babies born prematurely in a particular year for the 50 U.S. states and the District of Columbia (DC). State Premature Percent State Premature Percent State Premature Percent Alabama 12.3 Kentucky 11.3 North Dakota 9.0 Alaska 9.1 Louisiana 12.9 Ohio 10.9 Arizona 9.6 Maine 9.0 Oklahoma 10.9 Arkansas 10.6 Maryland 10.7 Oregon 8.3 California 8.9 Massachusetts 9.2 Pennsylvania 10.0 Colorado 9.0 Michigan 10.4 Rhode Island 9.2 Connecticut 9.8 Minnesota 9.3 South Carolina 11.4 Delaware...
Let X and Y equal the number of milligrams of tar in filtered and nonfiltered cigarettes,...
Let X and Y equal the number of milligrams of tar in filtered and nonfiltered cigarettes, respectively. Assume that ?~?(??, ?2) and ?~?(??, ?2). We shall test the null hypothesis ?0: ?? = ?? against the alternative hypothesis ??: ?? < ?? using independent random samples of sizes n = 9 and m = 11 observations from X and Y, respectively. Define the test statistic for testing the above hypothesis, and the rejection region that is associated with an ?...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT