Title | Exam 1 Review Sheet - Summary Intro To Statistics (Ql) |
---|---|
Author | Randall Reese |
Course | Intro To Statistics (Ql) |
Institution | Utah State University |
Pages | 1 |
File Size | 31.8 KB |
File Type | |
Total Downloads | 93 |
Total Views | 148 |
Review materials covering the first exam of Stat 1040. ...
Stat 1040 Section 002
Test is Wed Feb. 15 through Sat Feb. 18
Review Sheet
This sheet is a general guide as to what to study for the first exam. If you know everything on here, you should be okay on the test. I am assuming basic math and calculator skills here. There are 10 questions, worth various amounts. There are a few multiple choice questions, and a few “show your work” and calculate something type questions. 1. What is a sample of convenience? Is it a good way to randomize? (No). 2. Does eating a lot of beef cause you to lose your hair? Does association imply causation? You will be asked about this probably more than once on the exam. 3. What happens to my correlation coefficient r if I add 20 (or subtract 20) to every data point? What happens to r if I multiply one of the sets of values by 5? 4. What is a cross-sectional study? What is a longitudinal study? Be able to recognize the difference. 5. Know how to draw a percentage based histogram (the only type we really looked at in class). How tall should each bar be? Don’t miss this. 6. Given the averages of X and Y , along with their SDs and correlation r, know how to predict a new Y value based on a X value you are given. This is linear regression. 7. How do we use r.m.s. error to calculate confidence intervals? 8. Be familiar with a good list of reasonable confounding factors for a research question. Age, income, gender are pretty much always reasonable. See the Confounding Factors sheet on Canvas for more. 9. Be able to recognize the difference between a controlled experiment and an observational study. If the researchers are not controlling what groups people are in, it is not controlled. 10. Know how to use z-tables to answer questions like on the HW. How do we find percent between two values? How do we find percent below a certain value? How do we find percent above a certain value (It invloves subtracting from 100%)? What percentage is between ±1 SD of the normal curve? How about percent between ±2 SD? 11. Understand how to calculate percentiles using a z-score table. 12. If I multiply every number in a data set by 7, what happens to the average? What happens to the standard deviation? What happens to the average of a data set if I add 19 to every point? 13. Why is randomization important? 14. Who is Thom Yorke? Who wrote the song “Stop Me If You Think You’ve Heard This One Before”? Who is Larry Bird? Who is Coco Chanel? 15. What should each bar of a histogram have as its total area? 16. Every question on the test should have a definite and correct answer. There should be enough information to answer every question. 17. There should not be any “trick” questions. If you know the techniques, you can do the questions.
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