Business Statistics and Analytics

                                                                                                                        Business Statistics and Analytics SOLVED PAPERS AND GUESS

Product Details: Rohtak   UNIVERSITY Business Statistics and Analytics

Format: BOOK

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2021-22

RATING OF BOOK: EXCELLENT

ABOUT THE BOOK

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If you find yourself getting fed up and frustrated with other Rohtak   UNIVERSITY book solutions now mehta solutions brings top solutions for Rohtak   UNIVERSITY   Business Statistics and Analytics REPORT book contains previous year solved papers plus faculty important questions and answers specially for Rohtak   UNIVERSITY .questions and answers are specially design specially for Rohtak   UNIVERSITY students .

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Business Statistics and Analytics
UNIT- I
Definition, role and application. Measures of central tendencies and their application. Measures of dispersion: range, quartile deviation, standard deviation, coefficient of variance and mean deviation. Skewness and kurtosis.
UNIT- II
Correlation: meaning and type of correlation - positive correlation, negative correlation, linear and non-linear correlation. Scatter diagram, Karl Pearson’s coefficient of correlation, properties of correlation coefficient, probable error of correlation coefficient. Multiple and partial correlation coefficient. Regression: Meaning and types- simple and multiple regression, linear and non-linear regression, regression lines, and properties of regression.
UNIT- III
Time Series: introduction, objectives and identification of trends – variation in time series, secular variation, cyclical variation, seasonal variation and irregular variation. Methods of estimation of trends- moving average and least square method.
Index number: definition, uses, types, simple aggregate method and weighted aggregate method- Laspeyre’s, Paasche’s, Fisher’s and CPI. Construction of index numbers and their uses.
UNIT- IV
Sampling: meaning and basic sampling concept, sampling and non-sampling errors. Hypothesis testing: formulation and procedure for testing a hypothesis. Large and small sample test- z, t, F test and ANOVA (one way). Non-parametric test: chi-square test, sign test, Kruskal–Wallis test. Concept of Business Analytics- Meaning, types and application of Business Analytics.