Question

6&7

D. O Population proportons On 05 and o0PWA Question 6 In a study at West Virginia University Hospital, researchers investigated e numbern a the bomes smoking behavior of cancer patients to create a program to help patients stop zo potnts smoking. They published the results in Smoking Behaviors Among Cancer Survivors (January 2018, Journal of Oncology Practice). In this study, the researchers sent a 22- item survey to s1161 cancer patients. They collected demographic information (age, sex, ethnicity, zip code, level of education), clinical and smoking history, and information about quitting smoking of the 1161 patients who were mailed surveys, 232 patients responded. For various reasons, researchers used only 209 of the completed surveys. 34 out of 116 female cancer patients reported being past smokers, and 47 out of 93 male cancer patients reported being past smokers. Calculate the difference between the corresponding sample proportions pi-p (female minus male). Round all calculations to the thousandth decimal place (3 places to the right of the decimal). Question 7 In 2014, students in an advanced Statistics course at UC Berkeley conducted ype aumbers in the bones an anonymous survey about use of cognition-enhancing drugs among college opo males. One survey group of males included members from a fraternity, and the other survey of males group included no fraternity members. The standard error formula for the difference between sample proportions is Calculate the standard error for a survey comparing proportions of cognition-enhancing drug use of members to non-fraternity members, where P-o.34, ni # 120, P2-o.25, n2 98. Round all calculations to the thousandth decimal place.

Answer 1

6 Female patients Male patients Sample size 116(ni) 93(n2) Past smokers 34. 47 Proportion P-34/116-0.293 P2-47/93-0.505 Difference between the corresponding sample proportions is P-P2-0.293 - 0.505 --0.212 7. p 0.34, n1 120, p2 0.25, n2 98 Standarderror of difference of proportions is p1 (1-PJ 2i . p2 (1-P2) PiPz 0.34(1 0.34) 0.25(1- 0.25) 120 98