Analytical Techniques for Animal Production I by AGR NOUN PDF free download

AGR NOUN Analytical Techniques for Animal Production I PDF, was published in 2018 and uploaded for 300-level Agriculture and Veterinary Medicine students of National Open University of Nigeria (NOUN), offering AGR305 course. This ebook can be downloaded for FREE online on this page.

Analytical Techniques for Animal Production I ebook can be used to learn Animal Production Analytical Techniques, Experimental Error, Sampling Techniques, Systematic Error, random error, Accuracy, Precision, Calculating Experimental Error, sampling techniques, Representative Sampling, Probability Sampling, Random Number Sampling, sample frame, Systematic Random Sampling, Stratified Sampling, Experimental Design, Randomisation, Completely Randomised Designs, Randomised Complete Block Design, Factorial Design, Split Block Design, Nested Design, statistics, Descriptive Statistics, Inferential Statistics, Data Collection, data Presentation, Central Tendencies, Arithmetic Means, median, Correlation, Scatter Graph, Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Regression Analysis, Classical Probability, probability theory, Probability Laws, Hypothesis Testing, Chi-Square Distribution, Proximate Analysis, Qualitative Analysis.

Technical Details
Updated at:
Size: 1.28 MB
Number of points needed for download: 44
Number of downloads: 4

Books related to Analytical Techniques for Animal Production I

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

Biostatistics for Animal Science, 3rd edition

Author: Miroslav Kaps, William Lamberson

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AGR302

Topics: Biostatistics, measures of central tendency, measures of variability, probability, permutations, random variables, Bernoulli Distribution, Binomial Distribution, Geometric Distribution, Hyper-geometric Distribution, Negative Binomial Distribution, Poisson Distribution, Multinomial Distribution, Uniform Distribution, Normal Distribution, Multivariate Normal Distribution, Logistic Distribution, Chi-square Distribution, Gamma Distribution, Exponential Distribution, Beta Distribution, Dirichlet Distribution, population sample, central limit theorem, degrees of freedom, parameters estimation, point estimation, maximum likelihood estimation, interval estimation, hypothesis testing, simple linear regression, simple regression model, partitioning total variability, partial correlation, rank correlation, likelihood ratio test, robust regression, curvilinear regression, polynomial regression, segmented regression, Least Significance Difference, intraclass correlation, experimental error, randomized complete block design, Partitioning Total Variability

Quantitative techniques in business, management and finance a case-study approach

Author: Umeshkumar Dubey, DP Kothari, GK Awari

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM307

Topics: Quantitative Decision Making, Quantitative Techniques, data collection, statistical methods, Quantitative Methods.Arranging Data, published data, unplublished data, primary data, Data Presentation Devices, Frequency Distribution, graphs, histogram, frequency polygon, frequency curve, Cumulative Frequency Distribution, Skewness, Kurtosis, Measures of Central Tendency, Arithmetic Mean, median, quantile, mode, variation, range, mean deviation, average deviation, standard deviation, variance, Bienayme–Chebyshev Rule, Probability Theory, Probability, Probability Rules, Conditional Probability, Set Theory, Venn Diagram, Statistical Decision Theory, Decision Theory, determinants, Business Decision Theory, Stochastic Business Situation, Linear Programming, Linear Programming Problem, Sampling Theory, Sampling Methods, sampling, Simple Random Sampling, Stratified Random Sampling, Systematic Random Sampling, Quasi-Random Sampling, Interval Sampling, Cluster Sampling, Multi-Stage Random Sampling, area sampling, quota sampling, error, Hypothesis Testing, Probability Distributions, Binomial Distribution, Poisson Distribution, Normal Probability Distribution, t-Test, Chi-Square Test, Business Forecasting, Correlation Analysis.Correlation, Regression Analysis, Regression, Least-Squares Method, Standard Error of Estimate, Multiple Regressions, Time Series Analysis, Seasonal Variations, Cyclical Variations, business cycle, Irregular Variations, Random Movements, Unpredictable Movements, Erratic Variations, Accidental Variations, Research Methodology, Research Approach

Statistics A Biomedical Introduction

Author: Byron Wm. Brown, Myles Hollander

School: University of Ilorin

Department: Medical, Pharmaceutical and Health science

Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200

Topics: Populations, Samples, Distribution of the Sample Mean, Analysis of Matched, Confidence Interval, Treatment Effect, Hypothesis Test, Sample Size, Two-Sample Location Problem, Sample Means, Population Means, equal Population Variances, Randomized Clinical Experiments, Medical Research, Clinical Trial, Retrospective Studies, Prospective Studies, Randomized Clinical Experiments, Dichotomous Variables, Success Probability, Comparing Two Success Probabilities, Chi-Squared Tests, Test for Trend, r x k Tables, Test of Homogeneity, Test of Independence, k-Sample Problems, Completely Randomized Experiment, Randomized Blocks Experiment, Linear Regression, Correlation, rank Correlation, Wilcoxon Signed Rank Test, Nonparametric Confidence Interval, Signed Rank Test, Two-Sample Location Problem, Wilcoxon Two-Sample Rank Sum Test, Rank Sum Test, Methods for Censored Data, Censored Data

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

Statistics for Social Sciences

Author: AEA NOUN

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AEA501

Topics: Statistics, data collection techniques, data presentation, data tabulation, measures of central tendency, geometric mean, arithmetic mean, harmonic mean, median, quartile, percentile, measures of dispersion, population, sampling, probability, factorial, permutation, combinations, mathematical expectations, binomial distribution, Poisson distribution, Normal distribution, central limit theory, confidence interval, statistical estimation, hypothesis test, Z distribution, F distribution, student's distribution, Chi Square Analysis, Chi square test, correlation analysis, regression analysis, Regression Equation

Sampling ,3rd edition

Author: Steven Thompson

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling

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

Statistical Analysis Handbook

Author: Michael de Smith

School: University of Ibadan

Department: Science and Technology

Course Code: STA231, STA322, STA351, STA415

Topics: Statistical Analysis, statistical data, statistical method, sampling, sample size, data preparation, data cleaning, missing data, data errors, statistical error, probability theory, odds, risk, frequentist probability theory, Bayesian probability theory, probability distribution, statistical modelling, computational statistics, inference, bias, confounding, hypothesis testing, statistical significance, confidence intervals, Non-parametric analysis, descriptive statistics, measures of central tendency, statistical indices, key functions, matrix, data transformation, data standardization, Box-cox, power transforms, Freeman-turkey transform, log transform, exponential transforms, logit transform, Normal transform, Z-transform, data exploration, graphic, visualization, exploratory data analysis, randomness, randomization, random numbers, random permutations, correlation, autocorrelation, probability distributions, eestimations, estimators, Maximum likelihood estimation, Bayesian estimation, z-test, T-test, variance test, contigency tables, randomized block designs, factorial designs, Analysis of variance, Analysis of covariance, ANOVA, MANOVA, ANCOVA, regression, smoothing, time series analysis

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

Applied Linear Statistical Models 5th Edition Instructors Solutions Manual

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Applied Linear Statistical Models,5th edition

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Statistics For Economist 1

Author: Okojie Daniel Esen

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO253

Topics: Bernoulli Distribution, Binomial Distribution, Normal Distribution, Poisson Distribution, Probability, Statistic Distribution Functions, Statistical Hypothesis Test, T-test, F-test, Chi square test, ANOVA, Correlation Coefficient Analysis, Regression Coefficient Analysis, Pearson’s Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Least Square Regression Line, Central Limit Theory, Central Limit Theorems, law of large numbers, Index Number, Statistical Data, Sample, Sampling Techniques

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

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

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

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

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

Introduction to Mathematical Statistics ,8th edition

Author: Robert Hogg, Joseph McKean, Allen Craig

School: Federal University of Agriculture, Abeokuta

Department: Science and Technology

Course Code: STS213

Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures

Past Questions related to Analytical Techniques for Animal Production I

Statistics and research methods 2018&2020

Year: 2020

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEX411

Topics: Statistics method, research methods, hypothesis, directional hypothesis, non directional hypothesis, degree freedom, scientific method, scientific investigation, research problems, sample design, sampling frame, sampling, probability sampling, data collection, quantitative data, qualitative data, research design

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

10 Descriptive Statistics tutorial questions

Year: 2020

School: Federal University of Agriculture, Abeokuta

Department: Science and Technology

Course Code: STS101

Topics: Descriptive Statistics, frequency distribution, data representation, data collection, measures of location, ratio, rate

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

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

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

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 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

Principles of animal production 1

Year: 2020

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AST201

Topics: Animal production, Cell, ruminant animal, feeds, digestive system, restraining techniques, active and passive transport, digestion

Principles of food quality management and experimental design

Year: 2020

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: FST407

Topics: Food quality management, null hypothesis, alternative hypothesis, Analysis of variance, ANOVA, food quality control authority, food quality control, food quality assurance, control chart, quality control chart, process variation, process predictability, sampling, variable data, attribute data, X-bar charts, R-chart, P-charts

INTRODUCTION TO STATISTICS AND PROBABILITY-2017,2018&2019

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA211

Topics: ASYMMETRY, Distrubtion, mean, median, mode, central tendency, frequency distribution, quartile

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

Fish systematic and taxonomy

Year: 2020

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: FAT307

Topics: Fish systematic, fish taxonomy, fish identification keys, perca flavescens, African catfish, Clarias gariepinus

Biotechnology in animal production

Year: 2020

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AST513

Topics: Animal production biotechnology, livestock feeding, poultry feeding, embryo transfer techniques, DNA replication, genetic code

Tests related to Analytical Techniques for Animal Production I

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

Novrazbb Yotjob distinctquote yourowndir muttcat scholarship carlesto newsfunt