- Tonight please complete the following questions in the "Chapter 12 MC" packet provided in class:
- 1-3; 5-13; 15; 20-22; 24
- We will quickly go over these answers with the random name generator tomorrow in class, so be ready!
- We will also start class tomorrow with a quick quiz dealing with sampling methods, so by doing your homework you are studying for that quiz!
- About the other questions:
- Questions 14, 16-19, and 25 deal with bias--we will discuss these ideas later this week.
- Feel free to investigate these answers independently if you'd like to get ahead!
- Question 4 is a "bad question...."
- A population parameter (of interest) is the value that we are trying to estimate based on our sample data
- For this context, we are trying to estimate the proportion (%) of all subscribers who believe the magazine is helpful in their daily lives
- We tried to do a census (mailed a survey to all subscribers), but not all responded--so we have a sample...
- A sample statistic is a number that summarizes a sample--for our sample 78% of those who responded said the magazine was helpful, so this 78% is a sample statistic...
- Which means there is really no correct answer
- If all subscribers had responded to the survey then the 78% would be the proportion of the population (all subscribers) who find the magazine helpful, and would be the population parameter of interest
- But again, we see "of those who responded," which implies the entire population did not respond, so the 78% is the proportion/% of our sample of subscribers who say the magazine is helpful, and is thus a sample statistic
Tomorrow we'll wrap up our discussion about sampling methods (after our quiz), then we'll start to examine the difference between sample statistics and population parameters.
Here's tomorrow night's homework if you'd like to get a head start:
And here's a key to the "Pop Quiz" homework from Thursday night, which covered the same concepts:
No comments:
Post a Comment