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Page 3 of 8 NAME Problem One a) (10% of the points on this question) random, A r

ID: 3058594 • Letter: P

Question

Page 3 of 8 NAME Problem One a) (10% of the points on this question) random, A researcher wants to know whether a new software system improves worker productivity. She selects a tative each wor the software system, and after using the new software system. She stores the data in two different spreadsheets: one contains the productivity before using the software system; the other contains the 50 workers productivity software system. Do you think that the data contained in the two different spreadsheets are two indepsndent random samples? Why? after using the new b) (20% of the points on this question) A random and representative sample of 200 office workers was received a flu vaccination. A 95% confidence interva vaccination is 409%-55.1%. ls the following statement a correct interpretation of this estimate? Explain why, or why not. "We think that 95% of the time the true proportion of office workers who have received a flu vaccination is 48% gathered, 48% of the workers in the sample had I for the proportion of office workers who have received a flu Question one continues on the next page

Explanation / Answer

Page 3 of 8 NAME Problem One a) (10% of the points on this question) random, A researcher wants to know whether a new software system improves worker productivity. She selects a tative each wor the software system, and after using the new software system. She stores the data in two different spreadsheets: one contains the productivity before using the software system; the other contains the 50 workers productivity software system. Do you think that the data contained in the two different spreadsheets are two indepsndent random samples? Why? after using the new b) (20% of the points on this question) A random and representative sample of 200 office workers was received a flu vaccination. A 95% confidence interva vaccination is 409%-55.1%. ls the following statement a correct interpretation of this estimate? Explain why, or why not. "We think that 95% of the time the true proportion of office workers who have received a flu vaccination is 48% gathered, 48% of the workers in the sample had I for the proportion of office workers who have received a flu Question one continues on the next page