# Download AGRICULTURAL STATISTICS AND BIOMETRY - AGR304 Past Question PDF

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AGRICULTURAL STATISTICS AND BIOMETRY past question for the year 2018 examines 300-level Agriculture and Veterinary Medicine students of FUTO, offering AGR304 course on their knowledge of statistics, biometry, regression, dispersion, frequency distribution, analysis of variance

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## Past Questions related to AGRICULTURAL STATISTICS AND BIOMETRY

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

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

Year: 2019

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEX411

Topics: research problem, quantitative analysis, statistical analysis

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA331

Topics: regression, variance, linear model, partial correlation

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

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

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

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

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

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA211

Topics: probability, frequency, data plane, scattergram, area plot, histogram, class boundaries, regression, skewness

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

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

Year: 2018

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEC504

Topics: economics analysis, financial analysis, capital investment analysis, agricultural investment analysis

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

### Books related to AGRICULTURAL STATISTICS AND BIOMETRY

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

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

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

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

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

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

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AGR302

Topics: Agricultural Statistics, Data Processing, population, sample, frequency distribution, measures of variation, measures of location, probability, probability distributions, Descriptive Statistics, sampling, data collection, data processing techniques, inference, hypothesis testing, variance analysis, Correlation analysis, regression analysis, Covariance analysis, goodness of fit, Chi-Square Test, Field experimentation

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

Author: Alaba Oluwayemisi Oyeronke

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Regression, Analysis of Variance, Correlation Coefficient, Correlation Ratio, Simple Linear Regression, Multiple Linear Regression, Multiple Regression Analysis, Polynomial Regression, Non-Linear Regression Model, ANOVA, Randomized Complete Block Design, Analysis of Variance for Randomized Complete Block Design, Latin Square Design, Least Significant Difference

Author: SMS NOUN

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: SMS201

Topics: Business Statistics, Decision Making Process, data collection, summarizing data, Graphical Presentation of Data, arithmetic mean, geometric mean, harmonic mean, Median, Mode, Fractiles, Skewness, Kurtosis, set theory, permutations, combinations, Probability Rules, Events, Bayes' Theorem, Probability Distribution, Binomial Distribution, Poisson Distribution, Hypergeometric Distribution, Normal Distribution, Frequency Distribution, ordered array, Cummulative Relative Frequency Distribution, Graphing Frequency Distribution, histogram, Frequency Polygon, ogive, bar charts, pie chart, weighted mean

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

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

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

Author: Allan Bluman

School: University of Ilorin

Department: Science and Technology

Course Code: STA121

Topics: data description, frequency distribution, graph, ogive, frequency polygon, central tendency, population variance, probability, counting rules, normal distribution, discrete probability distribution, confidence interval, sample size, hypothesis testing, correlation regression, chi-square test, analysis of variance, sampling, simulation, nonparametric statistics, Scheffé Test, turkey test, sampling techniques

Author: Robert Sokal, James Rohlf

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: BIO324

Topics: Biostatistics, Data, accuracy, derived variables, frequency distribution, descriptive statistics, arithemetic mean, median, mode, range, standard deviation, sample statistics, binomial distribution, Poisson distribution, Normal probability distribution, normal distribution, estimation, hypothesis testing, confidence limits, chi-square distribution, Variance, regression, correlation

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

Author: Samuel Olumuyiwa Olusanya

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO254

Topics: Statistics, probability Distribution, Continuous Random Variables, Probability Distributions, Hypothesis, Testing Difference, SAMPLING THEORY, population, Population Parameters, Sampling Parameters, Sampling Distribution, Estimators for Mean Variance, Frequency Distribution, Chi-Square Test, T-test, F-test, Regression Analysis, Simple Linear Regression Analysis

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

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

Author: Richard Johnson, Gouri Bhattacharya

School: Edo University

Department: Science and Technology

Course Code: MTH122

Topics: Statistics, measures of variation, bivariate data, probability, Bayes theorem, Probability distributions, random variables, binomial distribution, normal distribution, inference, regression analysis, simple linear regression analysis, Multiple Linear Regression, analysis of variance, ANOVA, nonparametric inference