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Mean Of Random Variable Books

Survey Methods and Sampling Theory

Author: AA Sodipo, VC Onyeze

School: University of Ibadan

Department: Science and Technology

Course Code: STA324

Topics: Survey Methods, Sampling Theory, Sample Survey, Probability sampling, non-Probability sampling, Simple Random Sampling, Random Sampling, Non-Random Sampling, Population Proportion, Confidence Limit, Systematic Sampling, Stratified Random Sampling, Ratio, Regression Estimation, Non-Sampling Error, response error

Introduction to probability and distribution lecture note 1

Author: Favour

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: Random variable, discrete variable, probability mass function, mathematical expectation, variance, standard deviation, mean of function

Applied Statistics and Probability for Engineers, 7th edition

Author: Douglas Montgomery, George Runger

School: Bayero University, Kano

Department: Engineering

Course Code: EGR4201

Topics: Applied Statistics, Probability, collecting engineering data, sample spaces, event, counting techniques, conditional probability, Baye's theorem, Random variables, discrete random variables, probability distributions, probability mass functions, cumulative distribution functions, Discrete Uniform Distribution, binomial distribution, Hypergeometric Distribution, Poisson Distribution, probability density functions, continuous uniform distribution, Normal distribution, Erlang distributions, Weibull distribution, Lognormal distribution, joint probability distributions, covariance, correlation, probability plots, descriptive statistics, point estimation, statistical inference, multiple linear regression, multiple linear regression model, simple linear regression, analysis of variance

Business Statistics 1

Author: Kadiri Kayode, Sufian Jelili, Irwin Richard

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM205

Topics: Statistics, Descriptive Statistics, Probability, Discrete Random Variables, Continuous Random Variables, Central Limit Theorem, Estimation Theory

Introduction to econometrics ,3rd edition

Author: Christopher Dougherty

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM306

Topics: Random variables, sampling theory, Covariance, variance, correlation, Simple regression analysis, regression coefficients, hypothesis testing, Multiple regression analysis, Transformations of variables, Dummy variables, Heteroscedasticity, Stochastic regressors, measurement errors, Binary choice, limited dependent models, maximum likelihood estimation, Autocorrelation

Introduction to Statistics and Data Analysis

Author: Christian Heumann, Michael Schomaker, Shalabh

School: University of Nigeria, Nsukka

Department: Science and Technology

Course Code: STA205

Topics: Framework, Descriptive Statistics, Population, Sample, Observations, Frequency Measures, Graphical Representation of Data, Measures of Central Tendency, Measures of Dispersion, Measures of Concentration, lorenz curve, discrete variables, continours variables, probability calculus, combinatorics, probability theory, random variables, probability distribution, inductive statistics, hypothesis testing, parametric test, linear regression

Basic Econometrics ,Fifth Edition

Author: Damodar Gujarati, Dawn Porter

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC312

Topics: Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting, econometrics

Basic econometrics Student solutions manual for use with Basic econometrics

Author: Damodar Gujarati, Dawn Porter

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC312

Topics: econometrics, Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting

Engineering Mathematics ,Eighth Edition

Author: John Bird

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: ENG307, EN308

Topics: Number, algebra, area, volume, trignometry, graph, complex number, vector, statistics, differential calculus, integral calculus, differential equation, irregular area, Trigonometric waveforms, Cartesian co-ordinates, polar co-ordinates, compund angles, straight line graphs, De Moivre’s theorem, mean, median, mode, standard deviation, probability, binomial distribution, Poisson distribution, normal distribution, Linear correlation, Linear regression, Sampling, estimation theories, Maclaurin’s series, implicit functions, Logarithmic differentiation, Standard integration, Integration by parts, partial fraction, Numerical integration, Mean square value, root mean square value, centroid

Statistical Inference I

Author: Femi Ayoola, JF Ojo, Remi Raji-Oyelade

School: University of Ibadan

Department: Science and Technology

Course Code: STA121

Topics: Statistical Inference, sampling, statistics, Sampling Techniques, Non-Probability Sampling Techniques, Large Sample Distribution of Means, Difference of Means, Central Limit Theorem, Sampling Distribution of Means, Large Sample Distribution of Proportion, Difference of Proportions, Large Sample Interval Estimation, estimation, Hypothesis Testing, Null Hypothesis, Scatter Diagram, Simple Bivariate Regression Model, Least Square Method, Correlation Analysis, Spear’s Ranking Order Correlation, Time Series Analysis, time series

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