Lecture 26
Using linear regression
condence intervals, outliers, and leverage
Slides for Introduction to Statistics for Biologists, 5 December 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
26.1
Contents
1
The linea
Lecture 24
Correlation
and the correlation coefcient
Slides for Introduction to Statistics for Biologists, 26 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
24.1
Relationships so far
1. To answer the questi
Outline
Sum-up and review
Peter Ralph
1
General principles
2
Test
3
What you should know for each test
Other concepts
4
review.1
General Principles
Sum-up and review
Peter Ralph
always look at, and think about, the data
correlation is not causation (con
Lecture 21
Relationships in Categorical Data
2 between two samples
Slides for Introduction to Statistics for Biologists, 14 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
21.1
The last few classes,
working
Lecture 23
The F test
and two-way ANOVA
Slides for Introduction to Statistics for Biologists, 21 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
23.1
Last time
1.
2.
3.
4.
5.
Goal: test for homogeneity in me
Lecture 19
Estimating proportions
with condence
Slides for Introduction to Statistics for Biologists, 7 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
19.1
So far we have
1.
2.
3.
4.
5.
analyzed quantitativ
Lecture 22
Analysis of Variance
or, ANOVA
Slides for Introduction to Statistics for Biologists, 19 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
22.1
Moving on. . .
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treatment (9)
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Lecture 20
Inference for proportions
the chi-squared statistic
Slides for Introduction to Statistics for Biologists, 12 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
20.1
Contents
1
Hypotheses for proporti
the WilcoxonMann
Whitney
test
Peter Ralph
Lecture 16
the WilcoxonMannWhitney test
and nonparametric testing
Introduction to Statistics for Biologists
29 October 2013
Overview
The WilcoxonMann
Whitney
test
Distributionfree tests
The
WilcoxonMannWhitney
tes
Lecture 18
Paired sample sign test
and the Wilcoxon signed-rank test
Slides for Introduction to Statistics for Biologists, 5 November 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
18.1
We know how to
1. Do distribu
Lecture 17
the Paired sample t
and condence intervals
Slides for Introduction to Statistics for Biologists, 31 October 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
17.1
So far we can
1.
2.
3.
4.
5.
Estimate the me
Lecture 14
Statistical signicance
and hypothesis testing principles
Slides for Introduction to Statistics for Biologists, 22 October 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
14.1
Introduction
Last time
1.
2.
3
Lecture 15
More on hypothesis testing
and checking conditions
Slides for Introduction to Statistics for Biologists, 24 October 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
15.1
Last time
What is, and isnt, implied
Lecture 13
Association & Causation
and Onesided t-tests
Slides for Introduction to Statistics for Biologists, 17 October 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
13.1
So far we know. . .
How to estimate the m
Lecture 25
The least-squares line
and the correlation coefcient
Slides for Introduction to Statistics for Biologists, 3 December 2013
Peter Ralph, Molecular & Computational Biology, University of Southern California
25.1
Last time
1.
2.
3.
4.
The correlat