Introduction to Statistics past question for the year 2021 examines 100-level Engineering students of AFIT, offering STA102 course on their knowledge of Statistics, Distribution, measure of central tendency, measure of dispersion, Class interval, data collection, simple linear regression, correlation analysis

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## Past Questions related to Introduction to Statistics

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: Federal University of Technology, Owerri

Department: Medical, Pharmaceutical and Health science

Course Code: PUH304, HST304

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

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: 2019

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: STA117

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

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: 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: AGR304

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

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: 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

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: 2018

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: ABE322

Topics: Statistical analysis, Engineering research, cumulative frequency, relative frequency, descriptive statistics, sampling, mean, mode, median, mean deviation, standard deviation, point estimation, interval estimation, experimental design, response variable

Year: 2017

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: random variable, probability distribution, binomial experiment, binomial probabilities, geometric distribution, Poisson distribution, binomial distribution

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

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

### Books related to Introduction to Statistics

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: 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: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery

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

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: 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: John Freund, Benjamin Perles

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

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: 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

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

Author: CR Kothari

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: ABE401

Topics: Research methodology, research, research methods, research process, research problem, research design, sampling design, census, sample survey, measurement, scaling techniques, scaling, scaling construction techniques, data collection, observation method, case study method, measures of central tendency, measures of dispersion, measures of asymmetry, skewness, simple regression, regression analysis, multiple correlation, regression, partial correlation, sampling, sampling distributions, central limit theorem, sampling theorem, Sandler's A-test, estimation, sample size, hypothesis, hypothesis testing, Chi-square test, Yates correction, ANOVA, analysis of variance and co-variance, ANOVA technique, analysis of Co-variance, ANOCOVA, nonparametric test, distribution free test

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

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

Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit

Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit

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 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

Author: Allen Craig, Robert Hogg, Joseph McKean

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