Statistics are quantitative methods of describing, analyzing, and drawing inferences or conclusions from data. This book is written for users to know how to properly select the right statistical test, present and describe information, draw conclusions about large populations based only on information obtained from samples. It is hoped that users of this book will ultimately be able to solve real-life problems and make sensible, valid, and reliable decisions on the basis of the statistical analysis conducted with confidence
This project aim to help academic staffs and graduate students who do not have quantitative research...
As a researcher (or consumer of research) you will frequently come across statistical testing of dat...
This expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tes...
Numbers are meaningless unless we analyze and interpret them in order to reveal the truth that lies ...
Statistics is mathematical science dealing with the collection, analysis, interpretation, and presen...
Introduction to Quantitative Statistical Analyses is designed for beginning statistics courses that ...
The statistical analysis can be divided in two main components: descriptive analysis and inferential...
How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and ...
Quantitative Data Analysis: Conducting Informed Social Research, introduces students to quantitative...
The intention of this chapter is to demystify quantitative research and give readers clear, straight...
This purpose of this guide is to help university students, staff and researchers understand the basi...
Researchers are often faced with the need to choose the correct statistical technique for a given da...
The component of a research thesis that scares students most is nearly always the statistical analys...
This text emphasizes inference and sound decision-making through its extensive coverage of data coll...
In order to understand data and present findings in an accurate way, researchers and managers need t...
This project aim to help academic staffs and graduate students who do not have quantitative research...
As a researcher (or consumer of research) you will frequently come across statistical testing of dat...
This expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tes...
Numbers are meaningless unless we analyze and interpret them in order to reveal the truth that lies ...
Statistics is mathematical science dealing with the collection, analysis, interpretation, and presen...
Introduction to Quantitative Statistical Analyses is designed for beginning statistics courses that ...
The statistical analysis can be divided in two main components: descriptive analysis and inferential...
How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and ...
Quantitative Data Analysis: Conducting Informed Social Research, introduces students to quantitative...
The intention of this chapter is to demystify quantitative research and give readers clear, straight...
This purpose of this guide is to help university students, staff and researchers understand the basi...
Researchers are often faced with the need to choose the correct statistical technique for a given da...
The component of a research thesis that scares students most is nearly always the statistical analys...
This text emphasizes inference and sound decision-making through its extensive coverage of data coll...
In order to understand data and present findings in an accurate way, researchers and managers need t...
This project aim to help academic staffs and graduate students who do not have quantitative research...
As a researcher (or consumer of research) you will frequently come across statistical testing of dat...
This expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tes...