Smoking habits of UK residents: A survey was conducted to study the smoking habits of UK residents. Below is a data matrix displaying a portion of the data collected in this survey. Note that "£" stands for British Pounds Sterling, "cig" stands for cigarettes, and "N/A" refers to a missing component of the data.   sex age marital grossIncome smoke amtWeekends amtWeekdays 1 Female 42 Single Under £2600 Yes 12 cig/day 12 cig/day 2 Male 44 Single £10,400 to £15,600 No N/A N/A 3 Male 53 Married Above £36,400 Yes 6 cig/day 6 cig/day ∶ ∶ ∶ ∶ ∶ ∶ ∶ ∶ 1474 Male 40 Single £2600 to £5,200 Yes 8 cig/day 8 cig/day a) What does each row of the data matrix represent? b) How many participants were included in the survey? c) Identify each variable, determine whether each variable is numerical or categorical. If the variable is numerical, specify continuous or discrete. If the variable is categorical, specify whether the variable is ordinal or not.

In marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table:   Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 b). What type of error is possible and describe this error in terms of the problem.

A new statistics book has been written and a faculty member and a student are asked to rank the new book and the other five best statistics books. How much do the student and professor agree on their assessment of the books (1 being the favorite, 6 being the least)? Use the data below to answer the following question:

A sales manager collected the following data on annual sales and years of experience. Annual Sales ($1000s) 80 Salesperson Years of Experience 1 1 4 102 3 6 103 4 10 119 5 13 136