## Quantitative Methods for MBA |

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### Contents

Matrices and Determinants and Applications | 1 |

A R G R Series and their Economic Applications | 80 |

Functions and Their Types | 116 |

Introduction to Statistics 1 | 1 |

Collection of Data 14 | 14 |

Frequency Distribution 25 | 25 |

Presentation of Data 46 | 46 |

Measures of Central Tendency 89 | 89 |

Regression Analysis 77 | 77 |

Index Numbers 1 178 | 178 |

Index Numbers II 242 | 242 |

Time Series Analysis 1 281 | 281 |

Time Series Analysis II | 345 |

Probability | 365 |

ProbabjlityDistributions Binomial and Poisson | 453 |

Probability Distribution Normal | 501 |

Measures of Dispersion | 204 |

Measures of Skewness | 276 |

Moments and Measures of Kurtosis | 302 |

Correlation 1 | 1 |

Thi s | 511 |

life 7FF8TJ0ATSD | 515 |

### Common terms and phrases

Antilog arithmetic mean assumed mean binomial distribution black balls Calculate cards central moments class interval Coeff coefficient of correlation coefficient of determination coefficient of skewness cofactors commodity computed correlation coefficient Cramer's rule crores cumulative frequency denoted determine drawn estimate Expenditure Find the probability following data following examples following formula frequency distribution function geometric mean given graph index numbers Karl Pearson's coefficient kurtosis lakhs Laspeyre's Living Index matrix measure median method mid value mode moving average multiplication theorem multiplied normal curve normal distribution Paasche's Poisson distribution Price Index Price Relatives probability of drawing probability of getting production Qtls Quantity quartile red balls regression coefficients Regression Equation regression line Required Probability Seasonal Indices Solution standard deviation statistics straight line trend term th item theorem Total number trend equation trend values variables variance variation wages weighted white balls