Chapter 8: Linear Regression
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 8
Chapter 8: Linear Regression
Reading Assignment:
Textbook Chapter 8
Fitting linear regression models in R, available on Glow2.
STAT 201 Statistics

Chapter 7: Scatterplots, Association, and
Correlation
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 7
Chapter 7: Scatterplots, Association, and Correlation
Relationship between two quantitative variables
Textbooks are often

Chapter 4: Displaying Quantitative Data
Qing (Wendy) Wang
Fall, 2014
STAT 201, Chapter 4
Chapter 4: Displaying Quantitative Data
Outline
Graphical tools for quantitative data
Histograms
Stem-and-leaf plots
Dotplots
Describing a distribution
Shape
C

Chapter 6: The Standard Deviation as a Ruler
and the Normal Model
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 6
Chapter 6: The Standard Deviation as a Ruler and the Normal
Motivating Example I
A college admissions ocer is l

Chapter 5: Boxplots and Comparing
Observations in Dierent Groups
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 5
Chapter 5: Boxplots and Comparing Observations in Dierent G
The Five-Number Summary
We know that one can use ei

Chapter 14&15: Probability
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 14&15
Chapter 14&15: Probability
When driving through the intersection of Main and Cole, do you
need to stop?
STAT 201 Statistics and Data Analysis, Cha

Chapter 1&2: Overview and Data Classication
Qing (Wendy) Wang
Fall, 2014
STAT 201, Chapter 1/2
Chapter 1&2: Overview and Data Classication
What Is (Are) Statistics?
What is Statistics?
Another attack of math anxiety?
Or, lifeless numbers and endless di

Chapter 26: Comparing Counts using Chi-square
Test
Qing (Wendy) Wang
Fall, 2014
STAT 201, Chapter 26
Chapter 26: Comparing Counts using Chi-square Test
Outline
We use a chi-square test to answer the following two questions.
1
2
Are the observed data (from

Chapter 3: Displaying Categorical Data
Qing (Wendy) Wang
Fall, 2014
STAT 201, Chapter 3
Chapter 3: Displaying Categorical Data
Outline
Studying one categorical variable
Frequency tables
Bar charts
Pie charts
Studying two categorical variables
Contin

Chapter 23: Inference About Means
Qing (Wendy) Wang
Fall, 2014
STAT 201, Chapter 23
Chapter 23: Inference About Means
Chapter 19&20: Inference about population proportion p
Key: sampling distribution of sample proportion p .
p can be viewed as a special

Chapter 22&24: Comparing two groups or two samples
Reading: Textbook Chapter 22 and 24 (until p.p. 591)
1. Comparing two proportions
We have learned how to build a condence interval or conduct a hypothesis test for a
population proportion p. What if we wa

Chapter 17&18: Counting and Its Applications
Qing (Wendy) Wang
Fall, 2014
1
1
A more fancy name for counting is Combinatorics. If you like counting
problems, you might consider to take Math 200 Discrete Math.
STAT 201 Statistics and Data Analysis, Chapter

Chapter 19&20: Inference for Proportions
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 19&20
Chapter 19&20: Inference for Proportions
How to make inference?
In Statistics, there are two main inference tools
1 condence interv

Chapter 16: Random Variable
Qing (Wendy) Wang
Fall, 2014
STAT 201 Statistics and Data Analysis, Chapter 16
Chapter 16: Random Variable
Outline
Random variable
discrete random variable
continuous random variable
Expected value and variance
Combining r

Chapter 13 Observational Study and Experiments
After talking about how to collect data in Chapter 12, we will next discuss how to design
a good research study in practice.
Every research study can be classied in one of the two following ways.
Observation

Chapter 12 Sample Surveys
We know that Statistics is about learning the entire population based on analyzing a
sample of observations.
Population parameter: numerical measurement of a population characteristic.
Sample statistic: numerical measurement of