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Statistics for Management

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Statistics for Management SOLVED PAPERS AND GUESS

Product Details: osmania University Statistics for Management

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2018-19

RATING OF BOOK: EXCELLENT

ABOUT THE BOOK

FROM THE PUBLISHER

If you find yourself getting fed up and frustrated with other osmania University book solutions now mehta solutions brings top solutions for osmania university Statistics for Management contains previous year solved papers plus faculty important questions and answers specially for osmania University .questions and answers are specially design specially for osmania University students .

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Statistics for Management

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Statistics for Management SOLVED PAPERS AND GUESS

Product Details: Osmania University Statistics for Management SOLVED PAPERS AND GUESS

Format: BOOK

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2016-17

RATING OF BOOK: EXCELLENT

ABOUT THE BOOK

FROM THE PUBLISHER

If you find yourself getting fed up and frustrated with other Osmania University book solutions now mehta solutions brings top solutions for Osmania University. this contains previous year solved papers plus faculty important questions and answers specially for Osmania University .questions and answers are specially design specially for Osmania University students .

Please note: All products sold on mbanotesindia.com are brand new and 100% genuine

Case studies solved
New addition fully solved
last 5 years solved papers with current year

PH: 09871409765 , 09899296811 FOR ANY problem

STATISTICS FOR MANAGEMENT

Unit 1

1) Introduction to Statistics-Overview, origin and development and Managerial Applications of statistics, Measures of Central Tendency, Dispersion, Skewnes and Kurtosis.

2) Introduction to Probability-Concepts and Definitions of Probability–Classical, Relative frequency, subjective and axiomatic. Addition and multiplication theorems, Statistical independence, Marginal, Conditional and joint Probabilities.

3) Baye’s theorem and its applications.

Unit 2

1) Probability Distribution-Random Variable (RV), Expectation and Variance of a RV. Probability distribution function, properties, Continuous and Discrete Probability distribution functions.

2) Discrete Probability distributions: Binomial Distribution, Properties and applications; Poisson distribution, Properties and applications.

3) Continuous Probability Distributions-Normal Distribution, Standard Normal Distribution, Properties, applications and importance of Normal Distribution.

Unit 3

1) Sampling Theory-The basics of sampling-Sampling procedures-Random and Non-Random methods-Sample size determination-Sampling distribution, Standard Error, Central Limit Theorem.

2) Hypothesis Testing-Statistical Estimation, Point and Interval Estimation, Properties of a good estimator, confidential interval.

3) Large Sample tests-Test for one and two proportions, Test for one and two means, Test for two S.D.’s.

Unit 4

1) Small Sample Tests- t-Distribution-properties and applications, testing for one and two means, paired t-test.

2) Analysis ofVariance-One WayandTwo WayANOVA (with and without Interaction).

3) Chi-Square distribution: Test for a specified Population variance, Test for Goodness of fit, Test for Independence of Attributes.

Unit 5

1) Correlation Analysis-Scatter diagram, Positive and Negative correlation, limits for coefficient of correlation, Karl Pearson’s coefficient of correlation, Spearman’s Rank correlation, concept of multiple and partial Correlation.

2) Regression Analysis-Concept, least square fit of a linear regression, two lines of regression, properties of regression coefficients.

3) Time Series Analysis-Components, Models of Time Series–Additive, Multiplicative and Mixed models; Trend analysis-Free hand curve, Semi averages, moving averages, Least Square methods.