Definition of statistics,History of statistics,Scope of statistics,Graphical Representation of Frequency distribution, Measures of Location, Theory of Probability, Importance of Normal Distn in... More > statistics, Merits & Demerits of Median, Experimental Design, Definitions(Experiment,Treatment,Experimental Unit,Yield,Block,Experimental error,Replication,Local Control,Models,ANOVA),The objectives of ANOVA,Analysis of CRD,Analysis of RBD,Latin Square Design,Corretation and Regression,Bivariate distribution,Correlation,Karl Pearson’s correlation Coefficient,The use of the correlation co-efficient,Regression Analysis< Less
Concise statistical textbook including descriptive statistics, covariance, Pearson product moment coefficient of correlation, point biserial, correlation ratio, the phi and chi square coefficients,... More > regression analysis and coded regression analysis, description of the tests of statistical significance, analysis of variance, and theory of statistical sampling. The formal description of these methods is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 0 1 2 3 4 5.
This book hopes to accomplish for students of statistics what Silvanus Thompson's book Calculus Made Easy, in print since 1910, accomplished for numerous generations of students. His book is prefaced as follows:
The authors of textbooks on mathematics seldom take the trouble to show you how easy the calculations are. They seem to desire to impress you with their tremendous cleverness by going about it in the most difficult way. I present you with the know-how how it is really done.< Less
Historical Developments of statistics,Definition of Statistics,Scope of Statistics,Population,Frequency Distributions,Graphical Representation of Frequency distribution,Characteristics of an Ideal... More > Measure of Location,Different Important measures of central location,Other Measures of Location,Measures of Dispersion,Types of Measures of Dispersion,Standard Deviation,Theory of Probability,Theory of Probability ,Independent & Dependent,Event,Multiplicative law of probability,Test of hypothesis,Definitions,Null hypothesis and Alternative hypothesis,Test of hypothesis,Level of Significance,Type- error and Type- error,Important steps in a test of significance,Statistical Tests,Normal tests,Correlation and Regression,Correlation,Karl Pearson’s correlation Coefficient,The use of the correlation co-efficient,Regression analysis,Experimental Design,Experiment,Treatment,Experimental Unit,Yield,Block,Experimental error,Purposes of Experimental Design,Basic Principles of Experimental Design,ANOVA,Basic Designs< Less
Probability and statistics are powerful tools for describing the real world using methods that are accessible to students with a solid background in introductory algebra. This supplementary text to... More > White Crane Education's Algebra 1 curriculum, starts with a discussion of the basic concepts of probability then moves into descriptive statistics including using charts to summarize and analyze data, modeling data with linear regression and drawing conclusions about a population using the normal distribution. A student designed research project involving data collection and analysis is outlined through the exercises at the end of several of the book's sections.< Less
Statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data, from simple to advanced, are conceptualized by using the paradigm defining... More > statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations.
The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics that will show you how the data analysis is really done.< Less
