Basic Mathematics and Statistics for Managers by DI Mailafia, Likita Ogba PDF free download

DI Mailafia, Likita Ogba Basic Mathematics and Statistics for Managers PDF, was published in 2009 and uploaded for 800-level Administration, Social and Management science students of National Open University of Nigeria (NOUN), offering MBA816 course. This ebook can be downloaded for FREE online on this page.

Basic Mathematics and Statistics for Managers ebook can be used to learn Mathematics for Managers, Statistics for Managers, Number System, Analysis of Correlation, Analysis of Regression, Measures of Dispersion, Measures of Central Tendency, Analysis of Progressions, Quadratic Equation, Simultaneous Linear Equation, Linear Equation, Analysis of Variation.

Technical Details
Updated at:
Size: 853.88 KB
Number of points needed for download: 13
Number of downloads: 8

Books related to Basic Mathematics and Statistics for Managers

Project Evaluation

Author: DI Mailafia, Likita Ogba

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: MBA851

Topics: Mathematics for Managers, Statistics for Managers, Number System, Analysis of Correlation, Analysis of Regression, Measures of Dispersion, Measures of Central Tendency, Analysis of Progressions, Quadratic Equation, Simultaneous Linear Equation, Linear Equation, Analysis of Variation, Statistical Analysis, Statistical Data Collection, Equation System

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

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

Statistics for Economist 1

Author: Noah Olaseinde, DI Mailafia, Likita Ogba

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC203

Topics: Descriptive Statistics, probability, Discrete Random Variables, Hypothesis Testing, Linear Regression, Correlation, linear equation, regression equation, index number

Introduction to Linear Regression Analysis ,5th edition

Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation

Introduction to Linear Regression Analysis Solutions Manual for 5th edition

Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation

Business Statistics

Author: CAROLINE ATURU-AGHEDO, KADIRI KAYODE

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: BUS722

Topics: Business Statistics, Data Collection, Decision Making Process, Summarizing Data, Graphical Presentation of Data, Measures of Central Tendency, Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode, Measures of Dispersion, Set theory, Permutation, Combination, Probability Rules, Events, Bayes' Theorem, Probability Distribution, Discrete Random Variable, Correlation Theory, Pearson‘s Correlation Coefficient, Spearman‘s Regression Analysis, Lease Square Regression Analysis, Multiple Regression Analysis, T-test, F-Test, Chi-square, ANOVA

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

Business Statistics

Author: Kadiri Kayode

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: FMS202

Topics: Business Statistics, Measurement of Variables, Statistics, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, Administration, Index Number, sampling theories, statistical data, sample, sampling theory, Estimation Theory, Correlation Theory, Goodness of Fit, correlation, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, Regression Analysis, Hypothesis test, T-test, F- Tests, Chi-Square Distribution, ANOVA, Forecasting, Time Series Analysis, Statistical test

Statistics for Economist 2

Author: Noah Olaseinde, DI Mailafia, Likita Ogba, Kadiri Kayode, Onyeamachi Joseph Onwe

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC204

Topics: Statistics, Estimation Theory, Confidence Interval, Administration Theory, Decision Theory, Linear Regression, Correlation, Hypothesis Testing, Chi-Square Distribution, Forecasting, Time Series

Introduction to Quantitative Methods

Author: OE Maku, GA Adesina-Uthman

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO153

Topics: Quantitative Methods, Real Number System, Fraction, Ratio, Proportion, Percentages, Lowest Common Multiples, Factorisation, Highest Common Factors, Indices, Logarithms, Surds, Equations, Formulae, Linear Equations, Linear Simultaneous Equations, Quadratic Equations, Simultaneous Equations, Linear Equations, Quadratic Equations, Set Theory, set, Set Notations, Sets Operation, Venn Diagrams, Arithmetic Progression, Geometric Progression, Sequence, Series, Polynomial, Binomial Theorem, Partial Fractions, Binomial Expansions, Factorials, Permutation, Combination, Matrix Operations, Matrices

Introduction to Econometrics 2

Author: GA Adesina-Uthman, Okojie Daniel Esene

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO356

Topics: Sampling Theory, Variance, Correlation, Econometrics, Random Variables, Sampling Theory, Covariance, Variance, Correlation, Regression Models, Hypothesis Testing, Dummy Variables.Simple Regression Analysis, Regression Coefficients, Multiple Regression Analysis, Multicollinearity, Transformations of Variables, regression variables, Heteroscedasticity/Heteroskedasticity, Autocorrelation, Error, Econometric Modelling, Stochastic Regression, measurement errors, Autocorrelation, Econometric Modelling, Time Series Data Models, Simultaneous Equation, Binary Choice, Maximum Likelihood Estimation

Social Science Statistics

Author: Emmanuel Ifeanyi AJUDUA, Vivian Anietem ODISHIKA

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: FSS211

Topics: Social Science Statistics, Descriptive Statistics, Probability, Measure of Central Tendency, Dispersion, Data Collection, data Presentation, Inferential Statistics, probability, sampling, Hypothesis Testing, Significance Testing, Regression Analysis, correlation

Political Evaluation

Author: Emmanuel Remi Aiyede

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: POL316

Topics: Political Evaluation, Political Evaluation Research, Political Evaluation Research Strategies, measurement, survey process, Survey Instrument, Questionnaire, Data, Data Collection Techniques, population, sample, Probability, Non-probability Sampling, descriptive statistics, inferential statistics, Variables, variable classification, Measures of Central Tendency, Measures of Dispersion, mode, median, mean, variance, standard deviation, Inferential Statistics, Estimation, Hypothesis Testing

Business Statistics 2

Author: Kadiri Kayode

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: SMS202

Topics: Business Statistics, Measurement of Variables, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, index number, statistical data, sample, sampling theory, estimation theory, Correlation Theory, Goodness of Fit, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, statistical test, Chi-Square Distribution, ANOVA, Forecasting, Time Series Analysis

Introduction To Econometrics

Author: Samuel Olumuyiwa Olusanya

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355

Topics: Econometrics, Econometrics Model, Linear Regression, Regression Analysis, Ordinary Least Square Method Estimation, Classical Least Regression Method, Ordinary Least Square Estimators, Coefficient of Determination, Classical Normal Linear Regression Model, NORMAL LINEAR REGRESSION MODEL, SINGLE- EQUATION REGRESSION MODELS, ECONOMETRICS ANALYSIS, Method Of Maximum Likelihood, Confidence intervals, Regression Coefficients, Regression Analysis, Analysis of Variance, Normality

Applied Econometrics 2

Author: Likita Ogba

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO453

Topics: Applied Econometrics, Applied Econometric Research, Model Estimation, Forecasting, Seasonal Variation, Two stage Least Square, Simultaneous Equation, Instrumental Variable Method, Full Information Likelihood Method, Three Stage Least Square

Applied Econometrics 2

Author: Likita Ogba

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO454

Topics: Applied Econometrics, Applied Econometric Research, Model Estimation, Forecasting, Seasonal Variation, Two stage Least Square, Simultaneous Equation, Instrumental Variable Method, Full Information Likelihood Method, Three Stage Least Square

Statistics for Accounting

Author: Mohammed Abba, Ishaku Ahmed Adamu

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: AC205

Topics: Statistical Inquiries, data collection, sample, sampling method, Probability Sampling, Non-probability Sampling, population, measurement, parameter, variables, Descriptive Statistics, Inferential Statistics, Quantitative Data, Qualitative Data, 3.1 Frequency Distribution, Graph, box plot, 5-number summary, sigma notation, arithemetic mean, skewness, mean, median, mode, Probability, Independent Events, Mutually Exclusive Events, Contingency Tables, Probability Trees, counting permutation, Discrete Random Variables, random variable notation, binomial distribution, geometric distribution, Poisson distribution, hypothesis testing, statistical testing, linear regression, linear correlation, correlation coefficient, linear equation, regression equation, index number, research method, confidential interval, chi-square distribution, forecasting, time series

Past Questions related to Basic Mathematics and Statistics for Managers

Statistics for accounting and finance 2015, 2017-2019

Year: 2019

School: University of Ilorin

Department: Administration, Social and Management science

Course Code: ACC233, FIN233

Topics: correlation, least square regression, time series model, regression model, statistical analysis, forecasting, hypothesis, price index, quantity index, sampling error, population, sampling, product moment correlation coefficient, finite population, estimators, point estimates, error

Introduction to Statistics

Year: 2021

School: Air Force Institute of Technology

Department: Engineering

Course Code: STA102

Topics: Statistics, Distribution, measure of central tendency, measure of dispersion, Class interval, data collection, simple linear regression, correlation analysis

Introduction to statistics continuous assessment

Year: 2021

School: Air Force Institute of Technology

Department: Engineering

Course Code: STA102

Topics: statistics, class interval, frequency table, cumulative frequency, mean growth rate, median, mode, standard deviation, measures of central tendency, measures of dispersion

Business Statistics

Year: 2021

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: BUS204

Topics: Business statistics, Probability sampling, non-probability sampling, chi square test, probability distribution, regression, time series analysis, trend analysis

BIOSTATISTICS-STATISTICS FOR HEALTHCARE PROFESSIONALS-2018

Year: 2019

School: Federal University of Technology, Owerri

Department: Medical, Pharmaceutical and Health science

Course Code: PUH304, HST304

Topics: statistics, variable, central tendency, variation, test, sampling

Sociology of education quiz 2

Year: 2020

School: University of Ilorin

Department: Education

Course Code: EDU212

Topics: Records, evaluation, arithmetic mean, continuous assessment, central tendency, measures of dispersion

Econometrics

Year: 2019

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEC409

Topics: Econometrics, matrix, simultaneous linear equations, parameter estimates, linear regression equation

REGRESSION AND ANALYSIS OF VARIANCE 1

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA331

Topics: regression, variance, linear model, partial correlation

AGRICULTURAL STATISTICS AND BIOMETRY

Year: 2018

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AGR304

Topics: statistics, biometry, regression, dispersion, frequency distribution, analysis of variance

Introduction to Statistics I E Test Questions and solution By Sir Lake

Year: 2019

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: STA117

Topics: data collection, questionnaire, central location, central tendency

20 Statistics for Agricultural and Biological Sciences 2 tutorial questions by MK Garba

Year: 2018

School: University of Ilorin

Department: Science and Technology

Course Code: STA204

Topics: product moment correlation coefficient, t-table, standard deviation, confidence interval, significance level, Pearson correlation coefficient, estimator, estimate, hypothesis

Statistics and research methods 2016 & 2017

Year: 2017

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEC413

Topics: Inferential statistics, directional hypothesis, non directional hypothesis, research methodology, hypothesis testing, structured questionnaire, unstructured questionnaire, data, inductive statistics, deductive statistics, sampling unit, sampling frame, research sampling errors

Quality control and reliability

Year: 2019

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: IPE522

Topics: Quality control, quality reliability, quality failures, chance variation, assignable variation, system reliability

Signals and Systems

Year: 2021

School: Air Force Institute of Technology

Department: Engineering

Course Code: EEE316

Topics: signal, Euler identity, decaying sinusoids, unit impulse functions, unit step functions, unit ramp functions, linear system, non-linear system, odd signals, discrete-time signals, periodic signals, system, linear time-invariant system, power signal, casual system, memoryless system, feedback system, Fourier series, RC circuits, Fourier transforms, Laplace transforms, Z-transforms

Tests related to Basic Mathematics and Statistics for Managers

Mathematics (JAMB)

School: WAEC, JAMB & POST UTME

Department:

Course Code: JAMB

Topics: Mathematics, JAMB, Logarithm, standard form, permutation, combination, number system, set, ratio, indices, factorization, inequality

Biology (JAMB)

School: WAEC, JAMB & POST UTME

Department:

Course Code: JAMB

Topics: JAMB, UTME, biology, Plant cell, fern, plant biology, nutrition, circulatory system, osmoregulation, ecology, variation, hereditary, gene, chromosome, evolution