Search This Blog

Wednesday, February 25, 2015

Ch. 18 Reading Questions.....

Tonight, please complete the chapter 18 reading questions provided in class! If you were out (or lost yours), the questions are below.

Tomorrow we will look at the following applets to continue learning about sampling distributions! If you're out, play with these and try to make some sense of them!

Sampling Distributions for Proportions Applet

Sampling Distribution for Means Applet

Chapter 18 Reading Questions

1.      READ THE CHAPTER. The more time you put into trying to understand this on your own, the better off you’ll be. We will be moving quickly through the rest of the course, spending no more than 4 days on this section. These questions are designed for you to prove that you read the chapter.

2.      Define sampling error or sampling variability.

3.      Three conditions are outlined (on page 413) for a sampling distribution of sample proportions; name each of these conditions in the space below, and provide a brief description of each.

4. Define the sampling distribution model for a proportion. That is, provide the formulas/values for the mean and standard deviation and describe the shape for a sampling distribution model for a proportion (provided on page 414). Use correct (symbolic) notation.

5.  Define the Central Limit Theorem, also known as the Fundamental Theorem of Statistics. (page 419).

6. Define the sampling distribution model for a mean. That is, provide the formulas/values for the mean and standard deviation and describe the shape for a sampling distribution model for a mean (provided on page 421). Use correct (symbolic) notation.

7. Use the following words to fill in the blanks below. (One word is used twice):
Quantitative, Categorical, Proportions, Means, Normal

“The sampling distribution for ______________ is a ______________ model and is used for

___________________ data. ”

““The sampling distribution for ______________ is a ___________ model and used for

_________________data.”

8. There are three assumptions/conditions that must be met for a sampling distribution of sample means described on page 422. Provide the names and a brief description of each of these three conditions.

9. What is standard error? (Define it; p. 424).

10. Use the glossary at the back of chapter 18 to define sampling distribution model.


11. List each of the 5 terms provided at the end of chapter 18 (page 427). This is your chapter 18 vocab list.


No comments: