1.) Study for your chapter 18 and 19 vocab quiz! (start of class Monday)
2.) Complete the True/False worksheet (provided in class or below)
3.) Do the extra credit homework (provided in class or below)
- You must correct any false statements (or re-write them to make them true)
- You must create your own example to get full credit!
- Please read below for help with statements d and f:
- Read the "diminishing returns" section on page 423
- And/or...consider this....
- We know that as we increase sample size, we will decrease standard error and margin of error...
- However, we also know that the "n" is under the radical (square root) in the formula for standard deviation/standard error...
- Therefore, if we increase the sample size by taking a sample that is 4 times larger, it will only decrease the standard error/margin of error by cutting it in half. This is because of that square root--we took a sample that is 4 times larger, but we need to take the square root of 4 (2), so we cut the standard error/ME in half (divide by 2).
- Or, if we take a sample that is 16 times larger we will make the standard error/ME smaller, but it will not be divided by 16--the standard error/ME will be "one fourth as large," or divided by 4 (because we need to take the square root of 16)
- Here is the chapter 18/19 vocab list:
- Use your chapter 18 vocab quiz (you did it with the sub and we went over the answers) to study!
- Sampling Distribution
- Be able to recognize a sampling distribution question
- Remember, a question requires us to use the sampling distribution formulas for standard deviation (from our formula sheet) if the question asks for a percent/probability regarding the mean of a sample or the percent of a sample...
- And you must be given sample size...
- Sampling Variability
- Standard Error
- Confidence Interval
- Critical Value
- Margin of Error
- Point Estimate (a single value used to estimate the value of a population parameter; this is our sample statistic, found at the center of an interval)
- 10% Condition (sample size must be less than 10% of the population size)
- WHY do we check the randomization condition? (to check that our sample is representative of the population)
- WHY do we check (n)(p-hat)>10 and (n)(q-hat)>10? (to check that our sample is large enough)
- Know how changing sample size and changing confidence level affect the margin of error and the width of an interval (Friday's notes!)
- What does the "One" in "One Proportion Z Interval" refer to?
On Monday we'll finish up chapter 19 by going over our homework and discussing the meaning of our confidence level! Then, on Tuesday we'll do some classwork/practice, and on Wednesday take another quiz! See you there!
Here is the true/false homework:
And here is the extra credit homework:
Finally, if you're feeling super ambitious, here is Monday night's homework--we'll learn how to interpret confidence levels on Monday, but you can do the other stuff:
Page 446: 7, 14, 23d, 33
