Difference between revisions of "Lectures: Stat 202 Summer 2016"

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	* Midterm Exam.		* Midterm Exam.
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	== Monday, July 18, 2016 ==		== Monday, July 18, 2016 ==

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Revision as of 02:18, 19 July 2016

Some lectures below reference my class notes. Here is a link to a recent version of the entire class notes document: The Data Professor's Guide to Basic Statistics. Following the same link in the future may bring you to a more recent version. The link will be as recent as I bother to update it.

Monday, June 27, 2016

• Review assignment: Please review the material presented in class. We covered three and a half chapters (items 6-83, pages 13-27) in The Data Professor's Guide to Basic Statistics. These chapter's were Defining familiar terms, Let's collect some data!, Concepts of structured data, and part of Kinds of variables (up to item 83).

• Reading: the rest of Kinds of variables (items 84-100, pages 27-29) in The Data Professor's Guide to Basic Statistics.

• Reading: Moore, McCabe & Craig, pages 1-3.

• Homework: problems 1.14 and 1.16 on Homework 1. Due date will be assigned later (a week in advance). Update: due July 6, 2016.

• Optional reading: front matter to The Data Professor's Guide to Basic Statistics, pages 1-12. Many of these pages are blank, or mostly blank.

Tuesday, June 28, 2016

• Review: Please review the new material presented in class. In The Data Professor's Guide to Basic Statistics, Day 2, we covered the remaining part of Kinds of variables, and two new chapters: Distributions, and Exploratory data analysis, to page 34 and item 134.

• Homework: Homework 2 (stem plots). Please review, if finished. Due July 5, 2016, at end of class.

• Reading: Moore, McCabe & Craig, Section 1.2, pages 9-25.

Wednesday, June 29, 2016

• Review: Please review the new material presented in class. You will find the first 10 pages of My Summer 2015 Lecture Notes, Week 1, Tuesday helpful, as those were the notes I used to make today's presentation to the class.

• Homework: Homework 1 (cases, variables, pie charts, bar graphs) is now officially assigned. Due July 6, 2016, at end of class.

• Homework: Homework 3 (histograms) is also assigned. Due July 6, 2016, at end of class.

• Reading: Moore, McCabe & Craig: No new reading from the text today, but please finish reading material from Monday and Tuesday.

• Optional reading: Chapter 5 of Exploratory Data Analysis with R, by Roger D. Peng. This text is available from the publisher at http://www.leanpub.com/ The publisher asks for a donation. If you select $0.00 for your donation, you get the text for free.

Thursday, June 30, 2016

• Review: Please review the new material presented in class. You will find pages 11-19 of My Summer 2015 Lecture Notes, Week 1, Tuesday and all of Week 1, Wednesday helpful.

• Homework: Homework 4 (box plots and transformations) is assigned. Due July 7, 2016, at end of class.

• Homework: We worked on the first two problems of Homework 5 (more box plots and transformations and other things) but this homework doesn't have a due date, yet. Update: due July 12, 2016.

• Reading: Moore, McCabe & Craig: Pages 33-41.

Monday, July 4, 2016

• No class: Independence Day!

Tuesday, July 5, 2016

• Review: Please review the new material presented in class. We covered a new chapter (items 135-200, pages 35-40) in The Data Professor's Guide to Basic Statistics. We also covered My Summer 2015 Lecture Notes, Week 1, Thursday.

• Homework: Homework 5 (more box plots and transformations density curves), due Tuesday July 12, 2016.

• Homework: Homework 6, I passed this homework out but no due date is assigned yet. Update: due July 13, 2016.

• Reading: Moore, McCabe & Craig: Pages 42-67.

Wednesday, July 6, 2016

• Review: Please review the new material presented in class. We covered pages 1-6 of My Summer 2015 Lecture Notes Week 2, Monday.

• Homework: Homework 7 (Normal distributions), due Tuesday July 13, 2016.

• Homework: Homework 8 (QQ-Plots), due Wednesday, July 13, 2016.

• Reading: Moore, McCabe & Craig: Pages 67-72.

Thursday, July 7, 2016

• Review: Please review the new material presented in class. We covered pages 9-17 of My Summer 2015 Lecture Notes Week 2, Monday and pages of 1-7 My Summer 2015 Lecture Notes Week 2, Wednesday.

• Homework: Homework 9 (Probability Models), due Thursday July 14, 2016.

• Homework: Homework 10 (More Probability Models), passed out but no due date assigned yet. Update: due July 18, 2016.

• Reading: Moore, McCabe & Craig: Pages 231-249.

Monday, July 11, 2016

• Review: Please review the new material presented in class. We covered page 8 of My Summer 2015 Lecture Notes Week 2, Wednesday and all of My Summer 2015 Lecture Notes Week 2, Thursday.

• Homework: Homework 10 (Binomial Random Variables & More Probability Models), due July 18, 2016.

• Reading: Moore, McCabe & Craig: Pages 252-261.

Tuesday, July 12, 2016

• Review: Please review the new material presented in class. We covered the parts of My Summer 2015 Lecture Notes Week 4, Wednesday and My Summer 2015 Lecture Notes Week 4, Thursday about the means of random variables and started with the standard deviation and variance of random variables.

• Homework: We skipped ahead on homework: Homework 17 (Means of Random Variables), passed out but not due yet.

• Reading: Moore, McCabe & Craig: Pages 263-274.

Wednesday, July 13, 2016

• Today we worked a practice exam for the midterm.

• Remember: Our exam tomorrow is in Anderson B-11 between 10 AM and Noon.

Thursday, July 14, 2016

• Midterm Exam.

Monday, July 18, 2016

• Review: Please review the new material presented in class. We covered Pages 3 to the end of My Summer 2015 Lecture Notes Week 3, Monday and all of My Summer 2015 Lecture Notes Week 3, Tuesday, concerning correlation and regression.

• Homework: Homework 11 (Correlation). Due July 25, 2015.

• Extra Credit Assignment: Due Wednesday, July 20. Worth 10 points added to your homework score. You must be present in class on Wednesday, July 20 to get the points, and you must both participate in the discussion in class and turn in (on Wednesday) a short written paragraph describing your experience. Here is the assignment: Pick a topic, suggestions are below. See what data you can find on the web concerning this topic. Use Google, and start with the key words "data" and your topic. Are the data you find free or do they cost money? Can you download the data set or do you need a computer program (or hand copy) to pull them off the web? If you can download the data, can you load it into StatCrunch or do the data require "munging" to be used by StatCrunch? What are the cases, and what are variables? (If there are many variables, what are some of the ones that are of interest to you?) Spend at least 45 minutes on this assignment. If you finish with your first topic in less than 45 minutes, try another topic. Suggested topics (actually, whatever interests you): sports (of various kinds, there are lots of free good data on baseball), entertainment, movies (again good data), law, criminology, government, city planning, architecture, weather, climate, geology, seismology, medicine, epidemiology, health, fitness, biology, evolution, extinction, ecology, math, computer science, statistics, data science, anthropology, ethnic studies, gender studies, history, sociology, culture, tourism, archeology, art, literature, writing, journalism, census, linguistics, finance, economics, business, astronomy, physics, chemistry, library sciences, theology, anything else you can think of.

• Reading: Moore, McCabe & Craig: Pages 103-107.