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Business Statistics-II

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Course Content

Chapter-1 Probability
What is Probability – Elements of Set Theory- Counting Techniques- Events-Addition Law- Conditional Probability- Multiplication Law- Dependent Events-Independent Events- Bayes’ Theorem- Miscellaneous illustrations- Problems.

  • Class Brief
    00:00

Chapter-2 Probability Distribution
Random Variable, Probability Function- Binomial Distribution- Poisson Distribution- Negative Binomial Distribution- Multinomial Distribution- Hypergeometric Distribution- Normal Distribution- Uniform Distribution- Exponential Distribution- Miscellaneous illustrations- Problems.

Chapter-3 Sampling and Sampling Distributions
Introduction- Purpose of Sampling- Principles of Sampling – Methods of Sampling – Random Sampling Methods- Non –Random Sampling Methods – Size of Sample – Merits of Sampling Method- Limitations of Sampling – Sampling and Non-Sampling errors- Sampling Distribution- Central Limit Distribution- The Universe Distribution- The Sample Distribution- The Sampling Distributions- Sampling Distributions of the Difference between Two Means- Sampling Distributions of the Number of Successes- Sampling Distribution of the Difference of two proportions - Miscellaneous illustrations- Problems .

Chapter-4 Estimation of Parameters
Introduction- Statistical Estimation- Point Estimation- Properties of a Good Estimator- Method of Maximum Likelihood- Interval Estimation- Confidence Limits for Population Mean- Confidence Limits for Population Proportion- Confidence Limits for Difference of Two Means- Confidence Limits for Difference of Two Propertions- Determination of a Proper Sample Size- Miscellaneous illustrations- Problems.

Chapter-5 Test of Hypothesis
Introduction- Procedure of Testing Hypothesis- Type I and Type II Errors – One- Tailed and Two –Tailed Tests- Tests of Hypothesis concerning Large Samples- Testing Hypothesis about Population Mean- Testing Hypothesis about the Difference between Two Means- Tests of Hypothesis concerning Attributes- Testing Hypothesis about Population Proportion- Testing Hypothesis about the Difference between Two Proportions- Miscellaneous illustrations- Problems.

Chapter-6 Small Sampling Theory
Introduction- Properties of t-Distribution- Test of Hypothesis about the Population Mean- Test of Hypothesis concerning the Difference between Two Means- Tests of Hypothesis about the Difference between Two Means with Dependent Samples- Test of Hypothesis concerning Coefficient of Correlation- The F- Distribution- Miscellaneous illustrations- Problems.

Chapter-7 Chi-Spuare Test
Introduction- Chi-Spuare Distribution- Chi-Spuare Test- Yate’s Corrections for Continuity- Grouping when Frequencies are Small- Sampling Distribution of the Sample Variance- Confidence Interval for Variance – Tests of Hypothesis Concerning Variance- Test of Independence- Test of Goodness of Fit- Test of Homogeneity- Cautions while Applying X2 Test- Miscellaneous illustrations- Problems.

Chapter-8 Analysis of Variance
Introduction- Assumptions in Analysis of Variance- One-Way Classification Model- Two-Way Classification Model- Miscellaneous illustrations- Problems.

Chapter-9 Partial and Multiple Correlation and Regression
Partial Correlation- Partial Correlation Coefficients- Partial Correlation Coefficients in Case of More than Three Variables- Second Order Partial Correlation Coefficients- Multiple Correlation- Multiple Regression- Miscellaneous illustrations- Problems.

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