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Description
Fall 2015
Christopher Reese
STAT 121
This is lectures 1-3: August 31, September 2, and September 4 This set of notes looks at what statistics is as well as the first part of Exploratory Data Analysis and how to graph and summarize the graphs of categorical and quantitative variables.
Lessons 4-6 talking about box plots, 5-number summary, role-type classification regarding explanatory and response variables, and standard deviation. SO MUCH FUN!
This is Dr. Reese's Exam 1 study guide with explanations and examples of everything on there. For example, the study guide on Learning Suite says to know how to calculate the median, so I explain step by step how to do it. This goes for the ENTIRE STUDY GUIDE! So I turned his 3 page study guide with just "know how to ____" into a 14 page study guide with how to do EVERYTHING! Graphs and examples in
Cautions in regression analysis notes
Sampling and experimentation introduction! How to do them well and how to do them terribly! :)
Designs of experiments and sample surveys, intro to probability and probability distributions! :)
Normal Distributions, the standard normal distribution and how to find z-scores
This is Dr. Reese's exam study guide with step by step instructions on how to do everything :)
These are the first week's notes, covering intro stuff for the class, as well as big picture and a lot of EDA (Exploratory Data Analysis).
Notes from week 2 of class. Topics covered are everything to do with finding center and spread, including calculating mean and median, as well as finding how spread out the data is using the range and IQR or by using mean and standard deviation. Also includes how to make a 5-number summary and a box plot to show spread.
Notes from week 3 of class. Topics covered include how to examine relationships, C->C, C->Q, and Q->Q relationships, and describing the direction, form, and strength of a scatterplot.
Practice Upload
This covers major concepts from week 2 of class and a bit of week 3, including the following: Response and explanatory variables Good ways to choose participants in a study Types of studies Problems with experiments Valid experiments Categorical vs. Quantitative RCE, RBE, Matched Pairs
Basic statistic vocabulary and concepts.
Major Concept from the first week of class, including the Big Picture and some vocab
Sample Notes
This guide gives the basic definitions of the vocab for this unit, and outlines the 4 steps for a confidence interval and test of significance.
Introduction of statistics.
The Big Picture and Exploratory Data Analysis.
Collecting data - sampling
Data Collection Methods: Cautions in sample surveys
Random variables and probability distributions
Stat 121 exam 1 practice problem 1-35
Sampling Distribution of x and the central limit theorem
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Lesson 14: Sampling distribution of x and the central limit theorem Lesson 15: Calculation probabilities associated with x Lesson 16: Statistical Process control
Lesson 17: Introduction to inference Lesson 18: One-sample and confidence interval for means
Sampling distribution & Hypothesis