1. What is the level of measurement for each of the following variables?
   1. Student IQ (intelligence quotient) ratings.
   2. Distances students travel to class.
   3. Student scores on the first statistics test.
   4. A classification of students by province of birth.
   5. A ranking of students by letter grades.
   6. Number of hours students study per week.
   7. The political parties in Canada.
   8. Team standings in the National Hockey League (NHL).
   9. Jersey numbers in basketball.
   10. The number of car sales in the last six months.

2. What is the level of measurement for these items related to the newspaper business?

1. The number of papers sold each Sunday during 2016.
2. The number of employees in each of the departments, such as editorial, advertising, sports, and so on.
3. A summary of the number of papers sold by county.
4. The number of years with the paper for each employee.
5. The number of male and female employees.
6. The height of each employee.

3, For each of the following, determine whether the group is a sample or a population:

1. The participants in a study of a new diabetes drug.
2. The drivers who received a speeding ticket in Halifax last month.
3. Those on welfare in Victoria, B.C.
4. The 30 stocks reported as a part of the Toronto Stock Exchange (TSX).

4,Explain the difference between qualitative and quantitative data.

5, Explain the difference between a sample and a population.

6,A company conducts a survey of a large number of college undergraduates for information on the following variables: the name of their cell phone provider (e.g., Rogers, Bell), the numbers of minutes used last month (e.g., 200, 400), and their satisfaction with the service (e.g., Terrible, Adequate, Excellent). What is the level of measurement for each of these three variables?

Use the following information to answer question 7 & 8.

Students in Statistics 101 who had a grade of less than 50% on their first test are required to take a three-hour upgrading class in order to continue in the course.

1. "Statistics 101":
   1. Is it a qualitative or quantitative variable?
   2. What is its level of measurement?
2. The variable "grade":
   1. Is it qualitative or quantitative?
   2. Is it discrete or continuous?
   3. What is its level of measurement?

Use the following information to answer question 9 & 10

Is there a relationship between box office sales and the associated box office budget (total amount available to spend making the picture)? Would you expect movies with large budgets to result in large box office revenues?

1. The variable "box office sales":
   1. Is it qualitative or quantitative?
   2. Is it discrete or continuous?
   3. What is its level of measurement?

1. The variable "box office budget":
   1. Is it qualitative or quantitative?
   2. Is it discrete or continuous?
   3. What is its level of measurement?