Statistical applications in Business

19/11/2020 1 By indiafreenotes
Unit 1 Introduction to Statistics {Book}
Statistics: Meaning and Definition Functions, Scope, Limitations VIEW
Collection of data VIEW
Census and Sample Techniques VIEW
Classification of data VIEW
Preparation of frequency distribution VIEW
Tabulation of data VIEW
Presentation of Data VIEW
Diagrammatic representation of data: Bar diagram, subdivided bar diagram, percentage bar diagram VIEW
Pie diagram VIEW
Histogram VIEW
Frequency polygon VIEW
ogives VIEW


Unit 2 Measures of Central Tendency {Book}
Meaning and Definition VIEW
Types of Averages:
Arithmetic Mean (Simple and Weighted) VIEW
Median VIEW
Graphical representation of median and mode, Ogive curve VIEW
Empirical relationship between mean, median and mode.
Dispersion VIEW
Range VIEW
Quartile deviation VIEW
Mean deviation about mean VIEW
Standard deviation and their Coefficients VIEW
Measures of Skewness: Meaning, Uses, Co-efficient of Skewness VIEW
Symmetrical and Skewed Distributions VIEW
Measures of Skewness: Absolute and Relative skewness measures, Karl Pearson’s Co-efficient of Skewness, Bowley’s Co-efficient of Skewness VIEW


Unit 3 Co-relation and Regression Analysis {Book}
Co-relation: Meaning, Uses, Types, VIEW VIEW VIEW
Probable error VIEW
Karl Pearson’s Rank Correlation VIEW
Sparkman’s Rank Correlation VIEW
Regression: Meaning VIEW
Regression equation VIEW
Correlation coefficient through regression coefficient VIEW


Unit 4 Index Numbers and Time Series {Book}
Index Numbers: Meaning, Uses, Classification, Construction VIEW
Methods of constructing Index Numbers VIEW
Simple Aggregative Method VIEW
Simple Average or Price Relative Method, Weighted index method VIEW
Fisher’s ideal Method (TRT & FRT) VIEW
Consumer Price Index VIEW
Time Series VIEW
Components of Time series VIEW
Analysis of time series by moving averages VIEW
Trend and Least Squares method (Linear) and ordinary least square method (OLS) VIEW


Unit 5 Probability {Book}
Meaning and Importance of Probability VIEW
Experiment, Event and types of events VIEW
Additional & Multiplication theorem of probability VIEW
Classical and empirical probability VIEW
Conditional probability VIEW


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