5. [4 marks] All pharmacists in the Canadian province of Ontario are required to be members of the Ontario College of Pharmacists. At the end of 2015, here are the types of practices that they had: Practice Type Number of Pharmacists Community pharmacy 10,266 Hospital or other health care facility 2,363 Corporate office, professional practice, or clinic 130 Suppose the college is interested in obtaining members' views and understanding of the 2012 Expanded Scope of Practice Regulations, which authorizes pharmacists to provide additional service, including prescribing drug products for smoking cessation and administering the publicly funded influenza vaccine. To be sure that the opinions of all practice types are represented, you choose a stratified random sample of 10 pharmacists from each practice type. Explain how you will assign labels within each practice type (give only a few as an example - do not list all the possible numbers). Then, write down the label numbers for the sample of 10 pharmacists in only Community pharmacy. You can either use Table 7.1 (starting at the first line) in your textbook to select a simple random sample from the community pharmacies or a random number generator such as this one: https://stattrek.com/statistics/random-number-generator.aspx 4. [3 marks] Most Canadians feel that the welfare of our environment is the most important issue in Canada today. For a Statistics project, a student wanted to see if this is also true of Greater Vancouver residents. She selected random samples of people from colleges, universities, libraries, and fitness clubs and asked each person if s/he feels that the environment is the major issue facing Canadians today. Of the selected sample, 92% people said 'yes'. Is it appropriate to infer that about 92% of all Greater Vancouver residents feel this way also? Answer this question by identifying a type of bias in her survey and by explaining (briefly and clearly, in no more than 2 sentences!) how her sample differs from the population in terms of the variable in the study. 5. [4 marks] All pharmacists in the Canadian province of Ontario are required to be members of the Ontario College of Pharmacists. At the end of 2015, here are the types of practices that they had: Practice Type Number of Pharmacists Community pharmacy 10,266 Hospital or other health care facility 2,363 Corporate office, professional practice, or clinic 130 Suppose the college is interested in obtaining members' views and understanding of the 2012 Expanded Scope of Practice Regulations, which authorizes pharmacists to provide additional service, including prescribing drug products for smoking cessation and administering the publicly funded influenza vaccine. To be sure that the opinions of all practice types are represented, you choose a stratified random sample of 10 pharmacists from each practice type. Explain how you will assign labels within each practice type (give only a few as an example - do not list all the possible numbers). Then, write down the label numbers for the sample of 10 pharmacists in only Community pharmacy. You can either use Table 7.1 (starting at the first line) in your textbook to select a simple random sample from the community pharmacies or a random number generator such as this one: https://stattrek.com/statistics/random-number-generator.aspx 4. [3 marks] Most Canadians feel that the welfare of our environment is the most important issue in Canada today. For a Statistics project, a student wanted to see if this is also true of Greater Vancouver residents. She selected random samples of people from colleges, universities, libraries, and fitness clubs and asked each person if s/he feels that the environment is the major issue facing Canadians today. Of the selected sample, 92% people said 'yes'. Is it appropriate to infer that about 92% of all Greater Vancouver residents feel this way also? Answer this question by identifying a type of bias in her survey and by explaining (briefly and clearly, in no more than 2 sentences!) how her sample differs from the population in terms of the variable in the study