Frieman, Jerome
Principles & methods of statistical analysis / Principles and methods of statistical analysis Jerome Frieman, Donald A. Saucier, Stuart S. Miller, Kansas State University. - Los Angeles : SAGE Publications, Inc., c2018. - xxix, 496 p. : ill. ; 24 cm.
About the authors --
Getting started --
The big picture --
Examining our data : an introduction to some of the techniques of exploratory data analysis --
The behavior of data --
Properties of distributions : the building blocks of statistical inference --
The basics of statistical inference : drawing conclusions from our data --
Estimating parameters of populations from sample data --
Resistant estimators of parameters --
General principles of hypothesis testing --
Specific techniques to answer specific questions --
The independent groups t-tests for testing for differences between population means --
Testing hypotheses where the dependent variable consists of frequencies of scores in various categories --
The randomization/permutation model : an alternative to the classical statistical model for testing hypotheses about treatment effects --
Exploring the relationship between two variables : correlation --
Exploring the relationship between two variables : the linear regression model --
A closer look at linear regression --
Another way to scale the size of treatment effects --
Analysis of variance for testing for differences between population means --
Multiple regression and beyond --
Epilogue --
Appendices --
A. Some useful rules of algebra --
B. Rules of summation --
C. Logarithms --
Table of the inverse of the cumulative normal distribution --
E. The unit normal distribution --
F. The t distribution --
G. Table for the fisher r to Zr transformation --
H. Critical values for F with alpha = .05 --
The chi square distribution --
Index.
Using real research on antisocial behaviours such as cyberbullying, prejudice and discrimination, this text helps readers across the social sciences to understand the underlying theory behind statistical methods.
9781483358598
2016048460
Statistics--Methodology
001.422 FR PR
Principles & methods of statistical analysis / Principles and methods of statistical analysis Jerome Frieman, Donald A. Saucier, Stuart S. Miller, Kansas State University. - Los Angeles : SAGE Publications, Inc., c2018. - xxix, 496 p. : ill. ; 24 cm.
About the authors --
Getting started --
The big picture --
Examining our data : an introduction to some of the techniques of exploratory data analysis --
The behavior of data --
Properties of distributions : the building blocks of statistical inference --
The basics of statistical inference : drawing conclusions from our data --
Estimating parameters of populations from sample data --
Resistant estimators of parameters --
General principles of hypothesis testing --
Specific techniques to answer specific questions --
The independent groups t-tests for testing for differences between population means --
Testing hypotheses where the dependent variable consists of frequencies of scores in various categories --
The randomization/permutation model : an alternative to the classical statistical model for testing hypotheses about treatment effects --
Exploring the relationship between two variables : correlation --
Exploring the relationship between two variables : the linear regression model --
A closer look at linear regression --
Another way to scale the size of treatment effects --
Analysis of variance for testing for differences between population means --
Multiple regression and beyond --
Epilogue --
Appendices --
A. Some useful rules of algebra --
B. Rules of summation --
C. Logarithms --
Table of the inverse of the cumulative normal distribution --
E. The unit normal distribution --
F. The t distribution --
G. Table for the fisher r to Zr transformation --
H. Critical values for F with alpha = .05 --
The chi square distribution --
Index.
Using real research on antisocial behaviours such as cyberbullying, prejudice and discrimination, this text helps readers across the social sciences to understand the underlying theory behind statistical methods.
9781483358598
2016048460
Statistics--Methodology
001.422 FR PR