Statistics AP
Session Date
Lesson Topic
Numerical Summaries of Data
Lesson Outline
The mean. Sigma notation for sums. The median. The mode. The mean and the median for skewed and symmetric distributions. The standard deviation expressed in terms of the average squared deviation and in terms of the area under the distribution.
Assignment
Become familiar with computing mean sn standard deviation on a TI-84
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Design of Experiments
Lesson Outline
Reducing bias in experiments. Treatment groups and control groups. Factors and levels. Blind, single-blind, and double-blind experiments. Placebo effect. Direct control, randomization, and replication. Blocking and confounding. Matched pair experiments.
Assignment
Odd excercises on p52.
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Summarizing Data
Lesson Outline
Paired (bivariate) data and scatterplots - Univariate data visualization - Stem-and-leaf plots - Dot plots - Brief discussion of outliers - Histograms - Choice of number of bins - Uniform, unimodal, bimodal, and multimodel distributions - Left-skewed and right-skewed distributions -
Assignment
None yet.
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Data Collection Principles
Lesson Outline
Explanatory and Response Variables - Association and Causation - Observational Studies and Experiments - Sampling Strategies - Simple Randomized Sampling, Stratified Sampling, and Cluster Sampling - Censuses. Completed Chapter 1.
Assignment
None
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Data Sampling
Lesson Outline
We discussed the concepts of a population and a sample, together with the associated notions of parameters and statistics. We then discussed association between variables and defined dependence (positive and negative) and independence. We did some problems from the textbook.
Assignment
None.
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Observations and Variables
Lesson Outline
We discussed the idea of statistics at a high level as the science of "extracting information from data." We defined observations and variables. We noted that variables may be classified as quantitative (numerical) or qualitative (categorical). Numerical data can further be subdivided into continuous and discrete, while categorical data can be further subdivided into ordered or nominal. We then described how data is usually presented as a data matrix, and we discussed the significance of the margins.
Assignment
None yet.
Session Minutes
45
Minutes Student Attended
45
Session Date
Lesson Topic
Problems on one-sample t-distributions
Lesson Outline
I planned to solve problems on the topic of one-sample t-distributions with Taylor. I started the lesson with an introductory video about problem-a working . After she watched the video, Taylor tried to call me back. Unfortunately, the connection was poor and we were not able to re-establish the video or audio connemctions. We were able to message through the MS Teams messaging and Taylor told me that she could work on the problems on her own. Since we could not resume the communication, I made the problems we were going to do her assignment.
Assignment
See lesson outline
Session Minutes
60
Minutes Student Attended
60
Lesson Comments
There was a lot of difficulty in the communication between us today. Taylor stepped up to try to rescue the lesson.
Session Date
Lesson Topic
FLVS
Lesson Outline
We completed the last assessments in Chapter 8, the chapter 8 exam, and final exam. He is officially done!
Session Minutes
180
Minutes Student Attended
180
Session Date
Lesson Topic
FLVS
Lesson Outline
We have been working through the concepts for his AP Statistics online course.
Session Minutes
285
Minutes Student Attended
285
Session Date
Lesson Topic
FLVS
Lesson Outline
We have been working on the concepts for his AP Statistics online course.
Session Minutes
240
Minutes Student Attended
240