Summer 2007

MATH 1107 – Elementary Statistics

Date	Section	Assignment
May 30	Data: displaying and describing categorical and quantitative data. Tour de France data. More updates will be posted on Thursday. Excel data on first day questionnaire with plots. Notes on how to plot categorical data. Example on conditional distributions. (pb 31, ch.3)	Read Chapter 1, 2, 3 and 4. Recommended ex: Ch. 2: 7, 20, 24. Ch. 3: 9, 10, 12, 13, 14, 19. We will spend more time on Chapter 4 on Friday.
June 1^st	Class meets in CL 1005 at 8am. Chapter 4: Stem and leaf plots, histograms, timeplots. Handout on features of distributions justifying why we look at the overall shape of data, measures of center and spread (extra copies can be found hanging on my office door). Timeplot data. See example on how to do timeplots in Excel. Notes on how to do histograms in Excel. Stem and leaf plots, histograms and descriptive statistics with Minitab. The data is in pb35/Chapter 1. Here is the Minitab output(.MPJ file). Chapter 5: Summary statistics: mean, median and standard deviation. We did not cover quartiles and boxplots.	Read Chapters 4 and 5 (we will do quartiles and boxplots on June 11). Pay attention to the examples. Read the notes I posted. Recommended exercises: Chapter 4: 18, 22, 30, 34, 38. Chapter 5: 7, 12, 43, 45. Announcements: Check your Vista e-mail. I will use it while I am out of town to send you messages. Forward the messages form the Vista e-mail to your e-mail server of choice. There is a little icon for mail forwarding once you are in the mailtool in Vista. Two students forgot the CD that comes with the text in the PC’s in CL1005. I took them. If you need them before June 11 you may ask one of our secretaries to get them from my office.
June 11	Mean, median, variance and standard deviation. Quartiles. The five number summary and boxplots (chapter 5) Drawing graphs with Ti83 (see help document on Resources page). z-scores and the normal model. Computing percentages based on the normal model (chapter 6). Class notes.	Read chapters 5 and 6. See class notes as well. More notes and examples to be added on chapter 6 soon… Work the activity in the document whose link appears here. Essentially you are required to repeat the analysis that we did in class in problem 8. Your work is due Wednesday, June 13 and will be graded. Write your responses on a separate sheet. Use full sentences when you are asked to describe the features of the distribution, and show your computations, do not just give numerical answers. Suggested problems: Chapter 5:4, 5, 7, 10, 16, 19, 27, 28(interesting and it refers back to 27), 36, 37. Chapter 6: 5, 6, 8,
June 13	Working with the normal model. Finding z-scores from given percentages (inverse problems). Scatterplots. Computing the correlation coefficient. Class notes with excel example on height_weight data.	Finish reading chapter 6. Read chapter 7. See last lecture class notes for an example (pb.17). Suggested problems: Chapter 6: 10, 16, 18, 22, 23, 24, 25, 27 (interesting to see when the normal model fails), 29, 31, 33, 35, 37. Look at the data in the file book_prices. One may believe that the price increases as the number of pages increases. Do a scatterplot of the data. Does the plot confirm your expectations? Look at the third column in the file. H stands for hardcover and S stands for soft cover (paperback) book. The more expensive books are scientific books. Separate the data according to the two labels (H or S) and compute the correlation of the hardcover books with price and softcover books with price separately. Also compute the correlation of the entire data. What do you conclude?
June 15	Extra session 9-11 am. Room CL 1003.	Practice test #1 is now posted
June 18	We can be in CL 1005 until 8:50am. Wait for me in front of CL 1005. Examples of scatterplots: height_weight data Computing the correlation coefficient. Does correlation make sense for any type of association? Finding the regression equation. Interpreting the parameters: the slope and the y-intercept.	Suggested problems: chapter 7:1, 5, 6, 8, 11, 12, 13, 15, 26. Read chapter 8. Suggested problems: chapter 8: 5, 6, 8, 14. Check the practice test on Resources page. You may have a formula sheet at the exam.
June 20	Exam 1: chapters 1-8. More on regression. See new notes.
June 25	Class meets in CL 1005 until 8:55. If you show up earlier I will be there at 7:45. More regression examples: book_prices, speed_limit. See notes on what we did in class.	Read Ch. 8 and Ch7 if you did not do it already. Pay attention to how to describe a scatterplot, how to compute the correlation coefficient and the interpretation of the regression line. See added notes as well. See new homework assignment: Hw #2. If you have any questions about hw e-mail me before Sunday night! Hw#2: due
June 27	Some examples on simulation. (Ch 11) Class notes. Minitab file on simulations Probability models. Chapter 14. Addition rule. More to come! Check the Resources page as well. I have posted solutions to Hw1 and 2 for you to have as model of how I would like you to write your homework in the future. The hw does not have to be typewritten.	Read chapter 9. Pay attention to extrapolation and unusual points. Review residuals. See worksheets done in class on June 25. Suggested problems chapter9: 9, 10, 11, 13, 23, 24. Read Ch 11.
July 2^nd	o Project information o Class meets in CL 1005 o Independent and dependent events. The multiplication rule. (Ch 15) o Random variables: expected value Class meets from now on in CL 1005	Suggested problems: Ch 11: 5, 6, 7, 9, 13, 15. I asked in class how would you run a simulation for pb 25? Think about it and bring me an answer for extra credit!! Also, how would you run a simulation for pb 22? Ch 14: 2, 3, 5, 9, 11, 24(a) Ch 15: 1, 2, 3, 4, 6, 8, 9, 10, 11, 15, 16.
July 9	Expected value and standard deviation of a random variable. Exam review. Solutions to selected problems in the practice test#2 are now posted on the Resources page.	Ch 15: 15, 21, 22, 23, 26, 29. Ch 16: 6, 7, 15, 16, 18, 31.
July 11	Exam #2: covers chapters 7, 8, 9, 11, 14, 15, 16. You are allowed to bring a formula sheet. No worked problems, examples, homework or practice problems on it. You will be allowed to use the computer software (Excel or Minitab) for your exam. The Binomial model. (Chapter 17 only the binomial model)	Chapter 17:14(d,e,f),19, 20, 15, 17, 19.
July 16	Chapter 18: Sampling distribution models for means and proportions. Results on exam.	Your projects are due today. Hw#3: Ch 17:ex. 18; Ch. 18: 12, 14, 25, 36, 38. Suggested problems on Ch. 18: 4, 5, 7, 9, 13, 15, 16, 20, 25, 26, 27, 31, 32, 34. Practice test for test #3 posted on Resources page. Solutions as well.
July 18	Exam #3 (short, just one hour). The sampling distribution for proportions.(in Ch 18) Confidence intervals for proportions.(Ch 19)	Read chapter 19 pages 428-436. review chapter 18. Suggested problems: ch. 18: 6, 11, 12, 13, 14. Ch. 19: 1, 2, 3, 4, 5, 7, 16, 17, 18, 22, 23, 26.
July 23	More on confidence intervals for proportions. Finding the sample size corresponding to a given margin of error. Final review.	Hw#3 due
July 25	Final exam. Data sets for final: data_final Remember that you can bring a formula sheet with you. Do not bring practice problems or their solutions or old exams. Notice that the exam begins at 9am. However, I will be in there earlier.	To prepare for the final review the problems in the past practice exams and the exam problems. Review chapter 19: finish reading pages 436-442. Review problems from Chapter 19 on confidence intervals. See list below: Ch. 19: 1, 2, 3, 4, 5, 7, 16, 17, 18, 22, 23, 26, 29, 30, 31, 32.