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 text
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-p
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
regressi
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: Suppos
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
Examp
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 comp
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
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
Chapter 13
Introduction to Inference
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13 Introduction to Inference
Denition: Statistical inference provides methods for drawing
conclusions about a population from sample data.
In this
Chapter 19
Comparing Two Proportions
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19 Comparing Two Proportions
Z -test and Z -condence interval on the dierence between two
population proportions, (p1 p2 )
Example: Let p1 = unknow
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 = s
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
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
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 prod