Review for your final.
These questions are aimed at what you will need to be able to do on your final. These can be completed from your book. Any questions you should come and ask me. This will be what you are working on in addition to your projects (both of which you should be aware of the time line on).
At the end of each section that we completed, there is a one page summary of that section. You should know and understand what they are saying in those summaries. You should be able to read each of the summaries for the sections below and know what it is saying. If you do not, that is a great place to start studying.
All of Chapter One Summaries EXCEPT: linear transformations of 1.2, normal quintile plot of 1.3
All of Chapter Two Summaries EXCEPT: three way tables in 2.5
All of Chapter Three Summaries EXCEPT: how to use a random digits table, all of 3.4
4.1, 5.1,
All of Chapter Six Summaries EXCEPT: 6.4
All of Chapter Seven Summaries EXCEPT: power, sign-test and distribution free test in 7.1, pooled estimator in 7.2, 7.3
...so, if you know, understand and can explain everything up there, you will be fine.
Q: But Mr. Mundt, how do I know what in there is important?
A: Strangely, the vocab in all of that is bolded! It's like, if you know what those words mean, you'll be able to explain them.
Q: And all those formulas?
A: Yep! What if I ask you to perform a t-test? Could you find the MOE (given the numbers for t*, etc.)?
Q: That's too much to know.
A: No, it's not. All the formulas follow the same pattern. All the words we talked about. If you paid attention to me this year, you'll be fine. If you study.
Q: How do I study?
A: In short, now is the time for note cards. DO NOT JUST LOOK AT IT IN THE BOOK AND SAY "OH YEAH, I REMEMBER THAT!" AND THEN FLIP THE PAGE COMFORTABLE IN YOUR KNOWLEDGE. It will not work for you (well, to be fair, it might work for one or two of you. But assume you aren't that person it will work for). Make cards. Test each other in the terms and the meanings. Do the problems below. Look over your homework questions that you all did.
Q: But what is the test going to look like? If I knew that I would succeed!
A: The final will look like all of my other tests. It will have a matching section (answers may be used more than once or not at all), a multiple choice section, a short answer section, and one essay. It will take an hour and a half to complete well. And that assumes that you know your stuff.
Q: Are you just trying to scare us?
A: Kind of. It's important you do well on this. It's worth A LOT of your grade. Oh yeah, and this is, for the most part, how college works as well.
Q: But that doesn't really seem fair. We know the material, but tests make us nervous. And there's all the pressure.
A: It's not really fair. Sorry.
Q: Can you give us some example questions?
A: Of course.
Q: . . . ok, what are they?
What is the difference between a bar graph and a histogram?
When is a pie chart useful? (never is a possible answer, but think perhaps outside of just what I personally believe)
Can you find the totals of different sections on a two way table? Can you create percentages easily of the different answers?
What does a confidence interval tell us?
What information can you pull off of an r print out?
What's the difference between MOE and SE?
If everyone else was jumping off of a bridge, would you? Give possible reasons for and against.
Do you know all of the symbols from our last test? Can you tell me when, where and why we use them?
What's a matched pair experiment and when are they used?
I want to test the difference in IQs of twin who were separated at birth. Give me the Goal, Hypothesis, Cautions, and Procedures
What is oversampling and undersampling in reference to, and why are they bad things?
What is a SRS and how do we achieve one?
What is undercoverage?
What is a convenience sample?
What is the meaning of life?
Give three reasons why convenience sampling can be a bad thing
if N(24, 3) and our score is 28, what's the Z score?
if N(24, 3), n=16, and x bar =28, what's the Z score and how is this different than the previous question?
What's the difference between a Z-test and a t-test?
Make a histogram given this set of data:
2,5,4,6,5,7,5,3,7,6,8,7,9,7,1,2,1,5,11,13,7,5,3,5,7,8,9,6,4,3,5,7,9,7,8,8,9,6,7,8
Why did you decide on the groupings of the data in the last question that you did?
Make a graph that lies with this set of data:
SAT Scores for two people: Oberon:1520, Hypatia: 1550
What does the law of large numbers do for us?
Why, when we take a large sample, does the mean of the sample approximate the mean of the population normally even when the population is not normal?
x bar to Z, Z to p. What does this mean?
What is a level of significance and why do we care?
What are the different representations of data that we have used and when is each useful?
When is it a good idea to split stems and how do we do that?
Questions from the book that might be useful. This is not to say that the questions here are the only things I will ask. Nor is it to say that I will ask questions about everything above and below. It simply means that if you can answer these questions (and the ones in the list above) you should be okay. Of course, my definition of okay and yours may vary.
For some of these questions, you will want to use r. The test will do this for you, but expect you to be able to read the print out of r and know what they mean. For 2.158, for example, it askes you to plot the correlation line and be able to understand what it means. On the test, I will have the printout, but you will be expect to go from that to a line of best fit (and tell me if it's a good line). Same for t.test and all such things.
1.156, 1.159, 1.175, 2.163, 2.158, 2.170, 2.173, 3.50, 3.51, 3.121, 3.125, 4.140 (see what you can do), 5.72(a), 6.121, 7.141,
Feel free to do more than the questions provided here.