Chapter 0
Instructors Introduction to Statistics
January 8, 2014
0 Instructors Introduction to
Statistics
Disclaimer: Unless otherwise stated, all statements in quotes are taken directly from
our textbook D. S. Moore, 2011.
The information we gather with
Chapter 7
Producing Data: Sampling
January 8, 2014
PART II: From Exploration to
Inference
7 Producing Data: Sampling
Should We Experiment or Should We Merely
Observe?
Example: Does talking on a cell-phone cause brain cancer?
(a) Conduct an
observational s
Chapter 5
Regression
January 8, 2014
5 Regression
Examining the relationship between variables is called
regression analysis.
linear relationship between two variables is called simple linear
regression.
Examining the
Two purposes of regression analysis:
Chapter 2
Describing Distributions with Numbers
January 8, 2014
2 Describing Distributions with
Numbers
Measures of Center of Quantitative Data
Summarize the data by taking an average.
Example: Suppose that a student has the following 6 quiz grades: 95, 1
Chapter 1
Picturing Distributions with Graphs
January 8, 2014
PART I: Exploring Data
1 Picturing Distributions with
Graphs
quantitative (numerical) or categorical
(qualitative).
Variables may be
Examples of
quantitative variables are:
Examples of
categori
Chapter 4
Scatterplots and Correlation
January 8, 2014
4 Scatterplots and Correlation
explanatory variable)
can be used to help predict the value of another variable (the response variable).
When comparing two variables, sometimes one variable (the
Often
Chapter 8
Producing Data: Experiments
January 8, 2014
8 Producing Data: Experiments
Denition: In an experiment, the subjects are the experimental units.
The three principles of experimental design are
(1) Control
(2) Randomize
(3) Use enough subjects
Exam
Chapter 11
General Rules of Probability
January 8, 2014
11 General Rules of Probability
Denition: Dierent trials of a random phenomenon are independent if the
outcome of any one trial is not aected by the outcome of any other trial.
Example:
Denition: Tri
Chapter 13
Introduction to Inference
January 8, 2014
13 Introduction to Inference
Denition: Statistical inference provides methods for drawing
conclusions about a population from sample data.
In this chapter we discuss point estimation, condence intervals
Chapter 19
Comparing Two Proportions
January 8, 2014
19 Comparing Two Proportions
Z -test and Z -condence interval on the dierence between two
population proportions, (p1 p2 )
Example: Let p1 = unknown, xed population proportion of female adults (at
least
Chapter 18
Inference about a Population Proportion, p
January 8, 2014
PART III: Inference about Variables
18 Inference about a Population
Proportion, p
Let p = unknown population proportion.
Let p = sample proportion.
We make inferences on p using the poi
Chapter 9
Introducing Probability
January 8, 2014
9 Introducing Probability
We will understand what the following statements mean:
1. The probability/chance of rain tomorrow is 20%.
2. The probability of inheriting Huntingtons disease, if exactly one pare
Chapter 16
Inference about a Population Mean,
January 8, 2014
16 Inference about a Population
Mean,
Let = unknown population mean.
Let X = sample mean.
We make inferences on using the point estimate X.
We use large samples and apply the Central Limit Th
Chapter 17
Two-Sample Problems
January 8, 2014
17 Two-Sample Problems
We may wish to compare two
treatment groups in experimental design.
Example: In the agricultural setting, which type of seed produces a better yield
per acre?
Example: Which of two dru