1.) Please complete the "Chapter 19/20" MC provided in class (or linked below):
- Ch. 19/20 MC (Tuesday's HW--Click Me!)
- Do this the same way you would do MC on the AP exam--that means NO CONDITIONS, use your calculator to skip showing lots of work, and read carefully!
- #1: first, narrow down your options--you should be able to determine if the interval gets wider (A or B) or more narrow (C or D) based on the change to sample size....
- Then...diminishing returns....
- #2: use your formula sheet! (test stat = (stat - parameter)/st. error.)
- I would recommend writing the hypotheses first, so you know what # is in the Ho
- #3: use your calc, get the pvalue, consider the conclusion!
- #4: review! use your notes to calculate the sample size!
- #5: you got this. use your notes.
- #6: Again, you got this; consider yesterday's stamp or today's stamp MC #2
- From our chapter 19 quiz (with the sub)--use the scantron/quiz that was passed back to study these
- Confidence Interval (used to ESTIMATE A PARAMETER based on sample statistics)
- Interpret Confidence LEVEL (if we keep taking samples this is the % of the resulting confidence intervals that will contain/correctly estimate the parameter)
- Check out your ch. 19 quiz (from the sub)--there was a multiple choice to interpret confidence level
- Critical Value
- Standard Error
- Why check for randomization?
- Why check "success failure?" -- n(p-hat) >10, n(1-phat)>10
- Point Estimate
- From ch. 20:
- Null Hypothesis
- Alternative Hypothesis
- PValue (remember...it's a probability of seeing our sample data IF THE NULL IS TRUE)
- Hypothesis Test (a statistical inference tool where we make an assumption about the value of a parameter and then determine if it's greater/less/different from the assumed value
- Alpha Level
- Reject the Ho (when do we reject Ho based on pvalue, alpha)
- Fail to Reject Ho (when do we fail to reject based on pvalue, alpha)
- Standardized Test Statistic (what is it? what does it measure?)
- Generally speaking, now how to write a conclusion for a hypothesis test....
- pvalue < alpha/significance level means we reject Ho, there IS evidence of Ha
- pvalue >alpha/significance level means we fail to reject Ho, there IS NOT evidence of Ha
No comments:
Post a Comment