How often have you heard of A/B testing in your field?
It can be said that Statistics
is one of the most practical and useful skills in the real world that people often ignore in college. Thanks to its dry nature, the subject is made even more boring by college textbooks that are poor at presenting and connecting the core concepts.
The applications of Statistics
are not limited to the field of Mathematics & Natural Sciences. Statistical experiments are often run by researchers in Social Science & Humanity to validate hypotheses in psychology or sociology, and in Medicine to understand the effects of vaccination on different population. From an educational standpoint, certain examples in Medicine and Social Science & Humanity are usually quite understandable and relatable to more audience.
In this book, Psychology Professor Timothy Urdan provides a comprehensive and intuitive introduction to key concepts in Statistics, supported by plenty of real-world examples of statistical experiments. The topics covered are immediately applicable to professionals in Marketing, UX Design/Research, Product, and Software Engineering who are looking to run and interpret the results of their first A/B tests:
Statistical Significance
Effect Size
Confidence Intervals
Analysis of the Variance
Correlation
Chi-Square Test of Independence
and many more.
About the author
Timothy C. Urdan is a professor of Psychology at Santa Clara University
(SCU).
He holds a Ph.D. in Education and Psychology from University of Michigan
.
His research interest is examining the motivation of adolescent students in middle and high schools
He is particularly interested in the ways that teachers' beliefs and instructional practices influence the motivation and achievement of their students. (Source: SCU Department of Psychology)
How often have you heard of A/B testing in your field?
It can be said that Statistics
is one of the most practical and useful skills in the real world that people often ignore in college. Thanks to its dry nature, the subject is made even more boring by college textbooks that are poor at presenting and connecting the core concepts.
The applications of Statistics
are not limited to the field of Mathematics & Natural Sciences. Statistical experiments are often run by researchers in Social Science & Humanity to validate hypotheses in psychology or sociology, and in Medicine to understand the effects of vaccination on different population. From an educational standpoint, certain examples in Medicine and Social Science & Humanity are usually quite understandable and relatable to more audience.
In this book, Psychology Professor Timothy Urdan provides a comprehensive and intuitive introduction to key concepts in Statistics, supported by plenty of real-world examples of statistical experiments. The topics covered are immediately applicable to professionals in Marketing, UX Design/Research, Product, and Software Engineering who are looking to run and interpret the results of their first A/B tests:
Statistical Significance
Effect Size
Confidence Intervals
Analysis of the Variance
Correlation
Chi-Square Test of Independence
and many more.
About the author
Timothy C. Urdan is a professor of Psychology at Santa Clara University
(SCU).
He holds a Ph.D. in Education and Psychology from University of Michigan
.
His research interest is examining the motivation of adolescent students in middle and high schools
He is particularly interested in the ways that teachers' beliefs and instructional practices influence the motivation and achievement of their students. (Source: SCU Department of Psychology)