



LEADER 
04020nam a2200421 a 4500 
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1212469 
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20090507085232.0 
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m e d 
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cr cn ma 
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081015s2008 caua fsab 000 0 eng d 
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a 9781598297782 (electronic bk.)

020 


a 9781598297775 (pbk.)

024 
7 

a 10.2200/S00142ED1V01Y200807MAS001
2 doi

035 


a 241487825 (OCLC)

040 


a CaBNvSL
c CaBNvSL
d CaBNvSL

050 
1 
4 
a QA278.8
b .S527 2008

100 
1 

a Shasha, Dennis Elliott.

245 
1 
0 
a Statistics is easy!
h [electronic resource] /
c Dennis Shasha, Manda Wilson.

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a San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
b Morgan & Claypool Publishers,
c c2008.

300 


a 1 electronic text (vi, 70 p. : ill.) :
b digital file.

490 
1 

a Synthesis lectures on mathematics and statistics ;
v #1

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a Mode of access: World Wide Web.

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a System requirements: Adobe Acrobat Reader.

500 


a Part of: Synthesis digital library of engineering and computer science.

500 


a Title from PDF t.p. (viewed on October 15, 2008).

500 


a Series from website.

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a Includes bibliographical references (p. 6970).

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0 

a The basic idea  Bias corrected confidence intervals  Pragmatic considerations when using resampling  Terminology  The essential stats  Mean  Why and when  Calculate  Example  Pseudocode & code  Difference between two means  Why and when  Calculate  Example  Pseudocode & code  Chisquared  Why and when  Calculate with example  Pseudocode & code  Calculate with example for multiple variables  Pseudocode & code  Fisher S exact test  Why and when  Calculate with example  Pseudocode & code  Oneway ANOVA  Why and when  Calculate with example  Statistics is easy  Pseudocode & code  Multiway ANOVA  Why and when  Calculate with example  Pseudocode & code  Linear regression  Why and when  Calculate with example  Pseudocode & code  Linear correlation  Why and when  Calculate & example  Pseudocode & code  Multiple regression  Multiple testing  Why and when  Family wise error rate  False discovery rate  Case study: New Mexico's 2004 presidential ballots  Take a close look at the data  What questions do we want to ask  How do we attempt to answer this question  Next: effect of ethnicity for each machine type  We have used the following techniques  What did we find out?

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a Electronic access restricted to Villanova University patrons.

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a Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distributionindependent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers.

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a Also available in print.

650 

0 
a Nonparametric statistics.

650 

0 
a Resampling (Statistics)

700 
1 

a Wilson, Manda.

710 
2 

a Synthesis digital library of engineering and computer science.

830 

0 
a Synthesis lectures on mathematics and statistics ;
v #1.

856 
4 
0 
z Online version
u http://ezproxy.villanova.edu/login?URL=http://dx.doi.org/10.2200/S00142ED1V01Y200807MAS001

852 
0 

b WWW
h QA278.8
i .S527 2008
