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Mathematics 23 Online
OpenStudy (anonymous):

a) Identify the question, population, and sample. b) Discuss any potential bias or lurking variables that may affect the results. c) Write about the extent to which we can generalize the findings to all people who use cell phones.

OpenStudy (anonymous):

In a study by Joshua E. Muscat and others reported in the Journal of the American Medical Association, the cell phone habits of 469 people with brain cancer were compared with those of 422 healthy people matched by age, gender, and other characteristics. The cell phone use of the group with cancer averaged 2.5 hours per month, compared with the control group’s 2.2 hours per month. Although the difference of 0.3 hours on the cell phone per month was not significant, the average time on the cell phone of the group with cancer was higher

OpenStudy (anonymous):

@agent0smith @genius12 @Compassionate @phi @thomaster

OpenStudy (anonymous):

The question is how many hours of cell phone use correlate with positive cancer diagnose. The population is the entire population of cell phone users. the Sample size is 891 which includes the positive results and the control. B) This sample size may not reflect the entire population of users because the positive results may have been caused by factors other than cell phone use. You would have to determine the population size and determine the proper sample size. You are using a matched pair method when you might want to use a randomized sampling method. C) This study may not reflect cell phone use correlation over a large population because of sample size and the predetermined conclusion that cell phone use causes cancer. You are looking at confidence intervals and a critical .05 level of significance to check to see if the results are significant

OpenStudy (anonymous):

And since the question already states the results are not significant, the hypothesis is not proven.

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