Difference between revisions of "Lectures: Stat 202 Soc Poly Fall 2016"
From Sean_Carver
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* Reading: Moore, McCabe, Craig, pp 1-25. | * Reading: Moore, McCabe, Craig, pp 1-25. | ||
* Next class: We will cover ''Exploratory data analysis'' from [[Media:The_Data_Professors_Guide_to_Basic_Statistics.pdf|The Data Professor's Guide to Basic Statistics]]. [[Media:Stat202_2015S_HW3.pdf|Homework 3]] will be assigned, but instead of working on the histogram homework in class we will do a laboratory exercise on a diamonds data set. Finally, if there is time, we will proceed to talk about summary statistics (mean, median, quartiles, percentiles, 5 number summary, standard deviation) and the box plot and modified box plot. | * Next class: We will cover ''Exploratory data analysis'' from [[Media:The_Data_Professors_Guide_to_Basic_Statistics.pdf|The Data Professor's Guide to Basic Statistics]]. [[Media:Stat202_2015S_HW3.pdf|Homework 3]] will be assigned, but instead of working on the histogram homework in class we will do a laboratory exercise on a diamonds data set. Finally, if there is time, we will proceed to talk about summary statistics (mean, median, quartiles, percentiles, 5 number summary, standard deviation) and the box plot and modified box plot. | ||
| + | |||
| + | == September 7, 2016 == | ||
| + | |||
| + | * Today we reviewed the concept of histograms with the call center data set. We talked about the axes of the histogram: the x-axis is the range of the values of the quantitative variable whose distribution is being visualized. This range can be restricted by adjusting the "where" input in StatCrunch. There are 3 choices for the y-axis in StatCrunch: frequency (the count of observations in each bin), the relative frequency (the proportion of observations in each bin) and the density. The point of the density was to have a vertical scale which is independent of the number of observations and bin width. We discussed exploratory data analysis and worked together to analyze the diamonds data set. Finally I introduced mean and median. | ||
| + | * Homework: [[Media:Stat202_2015S_HW1.pdf|Homework 1]] is due next class, September 8, 2016. | ||
| + | * Homework: [[Media:Stat202_2015S_HW2.pdf|Homework 2]] is due next class, September 8, 2016. | ||
| + | * Homework: [[Media:Stat202_2015S_HW3.pdf|Homework 3]] is now assigned with a due date of September 14, 2016. | ||
| + | * Practice Problems: [[Media:Stat20X_Week01_Practice_Problems.pdf|Practice Problems for Week 1]]. | ||
| + | * Solutions to Practice Problems: [[Media:Stat20X_Week01_Practice_Solutions.pdf|Solutions to Practice Problems for Week 1]]. | ||
| + | * Reading: Moore, McCabe & Craig, pp. 30-36. | ||
| + | * Next class: We will discuss skewed and symmetric distributions, tails, center and spread, unimodal, multimodal, and bimodal distributions. We also will discus mean and median, quantiles, and percentiles, resistant to outliers versus sensitive to outliers. We will continue our tour of summary statistics with the 5-number summary and the related box plot and modified box plots, we will pass out homework 4 and 5, talk about the sample standard deviation, and transformations. Then, if there is time we will proceed to talk about sampling -- to understand Bessel's correction in the definition of sampling standard deviation, but also because it is one of the primary course objectives. | ||
Revision as of 23:00, 7 September 2016
August 29, 2016
- Today, we had an introductory discussion and greetings, then discussed our syllabus, and finally covered the first two chapters of The Data Professor's Guide to Basic Statistics.
- Reading: Please read about the optional extra credit opportunities in our syllabus.
- Reading: Please read the first few chapters of The Data Professor's Guide to Basic Statistics, which is linked here and also passed out during class.
- Next class: I plan to discuss the projects and cover the next several chapters of The Data Professor's Guide to Basic Statistics.
August 31, 2016
- Today, we discussed projects and reviewed the material from August 29, and covered Concepts of structured data, Kinds of variables, and started Distributions in The Data Professor's Guide to Basic Statistics.
- Reading: I passed out two more chapters of The Data Professor's Guide to Basic Statistics: Distributions, and Exploratory data analysis. Please read these sections.
- Next class: I plan to review what we did today, assign some homework, and cover the sections of The Data Professor's Guide to Basic Statistics that I passed out but haven't covered.
September 1, 2016
- Today, after a review, we covered bar graphs, pie charts and stemplots, and histograms for visualizing distributions.
- Homework: I passed out and we worked on Homework 1, due September 8, 2016.
- Homework: I passed out and we worked on Homework 2, due September 8, 2016.
- Homework: I passed out but did not yet assign Homework 3. Due date to be added later.
- Reading: Moore, McCabe, Craig, pp 1-25.
- Next class: We will cover Exploratory data analysis from The Data Professor's Guide to Basic Statistics. Homework 3 will be assigned, but instead of working on the histogram homework in class we will do a laboratory exercise on a diamonds data set. Finally, if there is time, we will proceed to talk about summary statistics (mean, median, quartiles, percentiles, 5 number summary, standard deviation) and the box plot and modified box plot.
September 7, 2016
- Today we reviewed the concept of histograms with the call center data set. We talked about the axes of the histogram: the x-axis is the range of the values of the quantitative variable whose distribution is being visualized. This range can be restricted by adjusting the "where" input in StatCrunch. There are 3 choices for the y-axis in StatCrunch: frequency (the count of observations in each bin), the relative frequency (the proportion of observations in each bin) and the density. The point of the density was to have a vertical scale which is independent of the number of observations and bin width. We discussed exploratory data analysis and worked together to analyze the diamonds data set. Finally I introduced mean and median.
- Homework: Homework 1 is due next class, September 8, 2016.
- Homework: Homework 2 is due next class, September 8, 2016.
- Homework: Homework 3 is now assigned with a due date of September 14, 2016.
- Practice Problems: Practice Problems for Week 1.
- Solutions to Practice Problems: Solutions to Practice Problems for Week 1.
- Reading: Moore, McCabe & Craig, pp. 30-36.
- Next class: We will discuss skewed and symmetric distributions, tails, center and spread, unimodal, multimodal, and bimodal distributions. We also will discus mean and median, quantiles, and percentiles, resistant to outliers versus sensitive to outliers. We will continue our tour of summary statistics with the 5-number summary and the related box plot and modified box plots, we will pass out homework 4 and 5, talk about the sample standard deviation, and transformations. Then, if there is time we will proceed to talk about sampling -- to understand Bessel's correction in the definition of sampling standard deviation, but also because it is one of the primary course objectives.
