Unit 3 Relations Chapter 2

In groups, define the following terms by filling in the blanks. Use your textbook as a reference (sections 2.1 and 2.2). You will be given approximately 10 minutes.

1. Hypothesis: a theory or _________________ that is either true or false.

a. The more homework accomplished in math, the higher the math mark will be.

2. Primary Data : _______________ data that a researcher gathers specifically for a particular experiment or survey.

a. The researcher took a sample from every drinking fountain in the school to determine if they were cleaned properly.

3. Secondary Data: data that someone else has ________________for some other purpose.

a. The researcher went onto the Statistics Canada website and used the data Statistics Canada had collected.

4. Population: the ___________ group of people or items being studied

a. If the study was about whether grade 9 students at Huron Heights prefer getting math help from their parents or from their grade 9 math teacher, the population would be ALL grade 9 students at Huron Heights.

5. Census: a ___________ of all members of a population

a. If the same study were done as question 4, then a survey would be given to all grade 9 students at Huron Heights.

6. Sample: any ___________ of people or items selected from a population.

a. Instead of picking All grade 9 students from Huron Heights, the researcher could pick a smaller percentage of the grade 9’s to question.

7. Random Sample: a sample in which ______ members of a population have an ____________chance of being chosen.

a. To make a sample random you could pick names out of a hat, use a random number generator, or use a computer generated random selection program.

8. Simple Random Sample: choosing a ____________________ of members randomly from the entire population.

a. The principal takes an alphabetical list of all the students at the school and numbers the names in sequence. He then uses a graphing calculator to generate *200 random numbers* between 1 and 1600. He selects the names on the list that correspond to these numbers.

9. Systematic Random Sample: choosing members of a population at _______________ from a randomly selected member.

a. The researcher randomly selects a starting point by picking a number out of a hat that represents a student, then choosing every 8^{th} person after that student.

10. Stratified Random Sample: dividing a population into distinct _________ and then choosing the same percent or fraction of members from each group.

a. The Employer groups her employees into females and males and chooses 25% from each group. If there were 52 employees and 36 were female and 16 were male, then you would calculate 36 x 0.25 = 9 , and 16 x 0.25 = 4, so 9 females and 4 males were chosen.

11. Non-random Sample: using a method that is __________________ to choose a sample from a population.

a. If the researcher were studying the school population and chose Mr. Jones’ class to study.

12. Bias: error resulting from choosing a sample that does not ________________ the whole population.

a. After choosing Mr. Jones’ class to study, the researcher realized that Mr. Jones’ entire class liked the same thing, while the rest of the school had varying answers. So by including only Mr. Jones’ class, the researcher had a biased sample.

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