Learn to recognize biased samples and to identify sampling methods.

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Presentation transcript:

Learn to recognize biased samples and to identify sampling methods.

Vocabulary population sample biased sample random sample systematic sample stratified sample

A fitness magazine printed a readers’ survey A fitness magazine printed a readers’ survey. Statements 1, 2, and 3 are interpretations. Which do you think the magazine would use? 1. The average American exercises 3 time a week. 2. The average reader of this magazine exercises 3 time a week. 3. The average reader who responded to the survey exercises 3 time a week.

A fitness magazine printed a readers’ survey A fitness magazine printed a readers’ survey. Statements 1, 2, and 3 are interpretations. Which do you think the magazine would use? The population is the entire group being studied. The sample is the part of the population being surveyed. 1. The average American exercises 3 time a week. 2. The average reader of this magazine exercises 3 time a week. 3. The average reader who responded to the survey exercises 3 time a week.

For statement 1, the population is all Americans and the sample is readers of the fitness magazine who chose to respond. This is a biased sample because it is not a good representation of the population The population is the entire group being studied. The sample is the part of the population being surveyed. 1. The average American exercises 3 time a week. 2. The average reader of this magazine exercises 3 time a week. 3. The average reader who responded to the survey exercises 3 time a week.

Additional Example 1A: Identifying Biased Samples Identify the population and the sample. Give a reason why the sample could be biased. A. A record store manager asks customers who make a purchase how many hours of music they listen to each day. Population Sample Possible Bias Customers who make a purchase might be more interested in music than others in the store Music store customers Customers who make a purchase

Additional Example 1B: Identifying Biased Samples Identify the population and the sample. Give a reason why the sample could be biased. B. An eighth-grade student council member polls classmates about a new school mascot. Population Sample Possible Bias Students in the school Classmates She polls more eighth-graders than students in other grades.

Additional Example 1C: Identifying Biased Samples Identify the population and the sample. Give a reason why the sample could be biased. C. A television reporter asks people on downtown streets if they support a new city subway system. Population Sample Possible Bias People in the city People on downtown streets People working downtown might show more support than people who work elsewhere.

Additional Example 2A: Identifying Sampling Methods Identify the sampling method used. A. In a county survey, Democratic Party members whose names begin with the letter D are chosen. systematic The rule is to survey members whose names begin with D.

Additional Example 2B: Identifying Sampling Methods Identify the sampling method used. B. A telephone company randomly chooses customers to survey about its service. random Customers are chosen by chance.

Additional Example 2C: Identifying Sampling Methods Identify the sampling method used. C. A high school randomly chooses three classes from each grade and then draws three random names from each class to poll about lunch menus. stratified The three classes are the random subgroups. Names are chosen randomly from within the classes.

Population Sample Possible Bias Lesson Quiz: Part 1 Identify the population and sample. Give a reason why the sample could be biased. 1. A high school principal asks the first three people who leave the school play whether they liked it. Population Sample Possible Bias People who attended the play The first 3 people leaving People that enjoy a play may not leave as early as someone who didn’t.

Lesson Quiz: Part 2 Identify the sampling method used. 2. At a baseball game, 10 sections are chosen at random and 10 random people from each section are polled. 3. A telemarketer calls the people that have a last name beginning with H. stratified systematic