INSTANT NOTES ON STATISTICS

Author: Pardeep Kumar

Modern problems and needs are forcing statistical methods and statistical ideas into our daily life, more than we probably realize. Every decision we take is supported by the data that we gather and use that data we come to a conclusion. There are so many things we wish to know which cannot be discovered by a single observation. We need to analyze and study the data to be conclusive about anything.

Statistics are used everywhere, sports, education, politics, news, and many more. When you study any report, it is based on data, which is translated into usable information. With this information, you make a decision about the verity of the statement, claim, or fact. Statistical methods help in making decisions or judgments or anticipating the future.

The book “Instant notes on Statistics” will be useful for students across all fields of Sciences and Social Sciences. Included in the book are the basic concept and ideas of statistics and probability along with examples.

The book is well adapted to the student’s use and will majorly suffice the needs of the students.

Contents: Introduction, Frequency Distribution, Numerical Methods for Describing Data, Measures of Variability, Moments: Parameter of Distributions, Probability Theory, Distributions, Sampling Theory, Statistical Theory, Statistical Interface: Large and Small Samples, Mathematical Model Relating Independent and Dependent Variables, General Linear Model, Inference and Correlation Theory, Experimental Design, Count Data, and the Chi-Square Test and Time Series.

Contents:

Chapters: Introduction, Frequency Distributions, Numericals Methods of Describing Data, Measures of Variability, Moments: Parameters of distributions, Probability Theory: Basic Definitions and Theorems, Distributions, Sampling Theory, Statistical Inference: Large Samples, Small Samples Results, Mathematical Models Relating Independent and Dependent Variables, General Linear Model, Inference and Correlation Theory, Experimental Design, Count Data, and the Chi-Square Test, Time Series.

ISBN 9789390649655

595

595