Objectives

1. Objectives Estimate population means and proportions and develop margin of error from simulations involving random sampling. Analyze surveys, experiments, and observational studies to judge the validity of the conclusion.

2. Vocabulary simple random sample systematic sample stratified sample cluster sample convenience sample self-selected sample probability sample margin of error

3. When a survey is used to gather data, it is important to consider how the sample is selected for the survey. If the sampling method is biased, the survey will not accurately reflect the population. Most national polls that are reported in the news are conducted using careful sampling methods in order to minimize bias.

4. Other polls, such as those where people phone in to express their opinion, are not usually reliable as a reflection of the general population Remember that a random sample is one that involves chance. Six different types of samples are shown below.

7. Example 1:Classifying a Sample The campaign staff for a state politician wants to know how voters in the state feel about a number of issues. Classify each sample. A. They call every 50th person on a list of registered voters in the state. B. They randomly select 100 voters from each county to Call.

8. Example 1:Classifying a Sample continued C. They ask every person who comes to the next campaign rally to fill out a survey.

9. Example 2 The editor of a snowboarding magazine wants to know the readers’ favorite places to snowboard. The latest issue of the magazine included a survey, and 238 readers completed and returned the survey. Classify the sample.

10. A probability sampleis a sample where every member of the population being sampled has a nonzero probability of being selected. Simple random samples, stratified samples, and cluster samples are all examples of probability sampling.

11. Example 3: Evaluating Sampling Methods A community organization has 56 teenage members, 103 adult members, and 31 senior members. The council wants to survey the members. Classify each sampling method. Which is most accurate? Which is least accurate? Explain your reasoning.

12. Example 4 A small-town newspaper wants to report on public opinion about the new City Hall building. Classify each sampling method. Which is most accurate? Which is least accurate? Explain your reasoning.

13. The margin of error of a random sample defines an interval, centered on the sample percent, in which the population percent is most likely to lie

14. Example 5: Interpreting a Margin of Error A city is about to hold an election. According to a survey of a random sample of city voters, 42% of the voters plan to vote for Poe and 58% of the voters plan to vote for Nagel. The survey’s margin of error is ±7%. Does the survey clearly project the outcome of the voting?

15. Example 6 A survey of a random sample of voters shows that 38% of voters plan to vote for Gonzalez, 31% of voters plan to vote for Chang, and 31% plan to vote for Harris. The survey has a margin of error of ±3%. Does the survey indicate the majority’s preference? Explain.

16. Example 7 Calculating Margin of Error A city is about to hold an election. According to a survey of a random sample of city voters, 42% of the voters plan to vote for Poe and 58% of the voters plan to vote for Nagel. The survey’s margin of error is ±7%. How many students were surveyed?

17. Example 8 Calculating Margin of Error A reporter for a school newspaper surveys a random sample of students to find out for whom they plan to vote in an upcoming election for student body president. The survey results show that Diedrich will obtain about 58% of the vote while LeBlanc will receive about 42%. The survey’s margin of error is ±11%. How many students were surveyed?