Continuous Charge Distributions Books
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
Basic principle of physics 2(introductry electricity and magnetism )
Author: TT Ogunseye
School: University of Ibadan
Department: Science and Technology
Course Code: PHY104
Topics: Electric charges, Coulomb’s law, Conductors, insulators, Electric Field Intensity, Charge Distribution, Electric Field Lines, Electric Field Lines, Charge Density, Volume Charge Density, Surface Charge Density, Line Charge Density, Electric Field, Electric Flux, Gauss’s Law, Electric Field Calculation, Electric Potential, Electrical Potential Energy, Equipotential Surfaces, Capacitance, Dielectrics, Current Electricity, capacitor, Electric current, Electric Current Density, Resistance, Resistivity, Conductivity, Electromotive Force, Internal Resistance, Direct Current Circuits, resistance, Kirchhoff’s Current Law, Kirchhoff’s Voltage Law, energy, power, Wheatstone Bridge, Potentiometer, Slide Wire Bridge, Electrodynamics, Mass Spectrometer, hall effect, Magnetic Field, Magnetic Forces, Biot-Savart Law, Ampere’s Circuital Law, Electromagnetic Induction, Magnetic Flux, Lenz's law, Mutual Inductance, Self Inductance
Modern elementary statistics ,12th edition
Author: John Freund, Benjamin Perles
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: statistics, summarizing data, listing, grouping, Numerical data, Stem-and-Leaf Displays, frequency distribution, graphical presentations, Summarizing Two-Variable Data, population, sample, mean, weighted mean, median, mode, grouped data, measures of variation, range, standard deviation, variance, posibility, probability, counting, permutation, combination, sample spaces, events, odds, conditional probability, multiplication rules, Bayes theorem, Mathematical Expectation, expectation, decision, decision making, Statistical Decision Problems, Random Variable, probability distributions, binomial distributions, hypergeometric distributions, Poisson distribution, Multinomial distribution, Mean of a Probability Distribution, Standard Deviation of a Probability Distribution, normal distribution, Continuous Distributions, sampling, random sampling, sample designs, systematic sampling, stratified sampling, cluster sampling, sampling distribuions, central limit theorem, estimation, Tests of Hypotheses, Significance Tests, One-Way Analysis of Variance, analysis of variance, Multiple Comparisons, Two-Way Analysis of Variance, Design of Experiments, Design of Experiments, regression, Curve Fitting, Regression Analysis, Multiple Regression, Nonlinear Regression, Coefficient of Correlation, correlation, Correlation Analysis, Multiple Correlation, Partial Correlation, Nonparametric tests, sign test, signed-rank test, U test, H test, Tests of Randomness, Rank Correlation
Schaums outline of theory and problems of statistics and econometrics ,2nd edition
Author: Derrick Reagle, Dominick Salvatore
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO450
Topics: statistics, econometrics, Descriptive Statistics, Frequency Distributions, Measures of Central Tendency, Measures of Dispersion, Probability, Probability Distributions, Discrete Probability Distributions, Binomial Distribution, Poisson Distribution, Continuous Probability Distributions, The Normal Distribution, Statistical Inference, Estimation, Sampling, Sampling Distribution, Statistical Inference, Testing Hypothesis, Analysis of Variance, Chi-Square Test, Nonparametric Testing, Simple Regression Analysis, Two-Variable Linear Model, Ordinary Least-Squares Method, Ordinary Least-Squares Estimators, Multiple Regression Analysis, Three-Variable Linear Model, Coefficient of Multiple Determination, Partial-Correlation Coefficients, Matrix Notation, Functional Form, Regression Analysis, Dummy Variables, Distributed Lag Models, Forecasting, Binary Choice Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Simultaneous-Equations Methods, Time-Series Methods, ARMA
Probability distributions 2 Material
Author: STA222
School: University of Ilorin
Department: Science and Technology
Course Code: STA222
Topics: Moment Generating Function, Discrete Random Variable, Probability Distribution, Continuous Random Variables, Hypergeometric Distribution, Multinomial Distribution, Gamma Distribution, Normal Distribution, Student’s t-Distribution
Limits and Continuous Functions (Lecture 2)
Author: GC Ezeamama
School: Nnamdi Azikiwe University
Department: Science and Technology
Course Code: MAT102
Topics: Limits, Continuous Functions, continuity, left limit, right limit
Elementary statistics, 11th edition
Author: Robert Johnson, Patricia Kuby
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO113
Topics: statistics, single-variable data, bivariate data, probability, probability distributions, discrete variables, normal probability distributions, sample variability, statistical inference, Chi-square, analysis of variance, linear correlation, regression analysis, nonparametric statistics, data collection, measurability, variability, measure of central tendency, linear correlation, linear regression, random variables, Binomial probability distribution, normal probability distributions, notation, sampling distributions, inferential statistics, Chi-square statistic, ANOVA, linear correlation analysis, linear regression analysis
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
Fundamentals of Mathematical Statistics (A Modern Approach), Tenth Edition
Author: SC Gupta, VK Kapoor
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: Frequency Distribution, Arithmetic Mean, Measures of Dispersion, Skewness, Kurtosis, Probability, Random Variables, Distribution Function, Mathematical Expectation, Generating Functions, Theoretical Discrete Distributions, Bernoulli Distribution, Binomial Distribution, Poisson Distribution, Theoretical Continuous Distributions, Cunle Fitting, Principle of Least Squares, Correlation, Regression, Attributes, Sampling, Large Sample Tests, Exact Sampling Distributions, Chi-Square Distribution, t-test, t distribution, F distribution, z distribution, Statistical Inference, Estimation, Testing of Hypothesis, Non-parametric Methods, Sequential Analysis
Bernoulli Trials and Related Distributions
Author: Bruce Trumbo
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: Bernoulli Trials, Binomial Experiment, Hypergeometric Distribution, Geometric Distribution, Negative Binomial Distribution
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