# Download INTRODUCTION TO STATISTICS AND PROBABILITY - STA211 Past Question PDF

You will find INTRODUCTION TO STATISTICS AND PROBABILITY past question PDF which can be downloaded for FREE on this page. INTRODUCTION TO STATISTICS AND PROBABILITY is useful when preparing for STA211 course exams.

INTRODUCTION TO STATISTICS AND PROBABILITY past question for the year 2018 examines 200-level Science and Technology students of FUTO, offering STA211 course on their knowledge of probability, frequency, data plane, scattergram, area plot, histogram, class boundaries, regression, skewness

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## Past Questions related to INTRODUCTION TO STATISTICS AND PROBABILITY

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: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA212

Topics: probability, random, distribution, marginal

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA411

Topics: probability, equality, space, central limit theorem, chebyshev's inequality

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: 2018

School: University of Ilorin

Department: Science and Technology

Course Code: STA121

Topics: permutation, combination

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: URP204

Topics: histogram, distribution, standard deviation, probability, statistics

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA331

Topics: regression, variance, linear model, partial correlation

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC202

Topics: Database, data, sequential circuits, data structure, node, object, byte

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC505

Topics: management, data processing

Year: 2020

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC403

Topics: Computer hardware, arithmetic logic unit, registers, data path, logic gate, adder, keyboard, keyboard encoder, keyboard buffer, monitors, interface, data transfer

Year: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: BTC301

Topics: biostatics, mean, median, probability, statistics

Year: 2018

School: University of Ibadan

Department: Science and Technology

Course Code: PHY114

Topics: displacement, centripetal acceleration, acceleration, force, simple harmonic motion, inclined plane, motion on a plane, vector

Year: 2006

School: University of Ibadan

Department: Science and Technology

Course Code: PHY114

Topics: stress, strain, Young's modulus, shear modulus, Bulk modulus, work, force, Newton's law, parallel axis theorem, projectile, simple harmonic motion, inclined plane, motion on a plane, dimension analysis, Kepler's law, synchronous orbit, rigid body, physical quantity, acceleration due to gravity

Year: 2018

School: University of Ibadan

Department: Science and Technology

Course Code: PHY114

Topics: transverse wave, vector, projectile, motion on a plane, inclined plane, simple harmonic motion

### Books related to INTRODUCTION TO STATISTICS AND PROBABILITY

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: 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: GN Amahia

School: University of Ibadan

Department: Science and Technology

Course Code: STA211

Topics: Probability, Permutations, Combinations, probability laws, conditional Probability, independence rule, Bayes rule, random variables, Chebyshev's inequality, Bernoulli distribution, Binomial Probability distribution, Negative binomial distribution, geometric distribution, Poisson distribution, hypergeometric distribution, uniform distribution, rectangular distribution, normal distribution, Joint marginal distribution, conditional distribution, Gamma distribution, Chi-square distribution

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: 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: Harld Cramer

School: University of Ibadan

Department: Science and Technology

Course Code: STA211

Topics: probability theory, probability, Binomial distribution, normal distribution, continous distribution, sampling distributions, statistical inference

Author: Nagoor Kani

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: EEE307, MCE312

Topics: Mathematical model, time response analysis, time response, test signal, impulse response, order of a system, partial fraction expansion, Response of first order system, Response of second order system, time domain specification, steady state error, static error constant, error coefficient, automatic control system, controller, time response analysis, frequency response, sinusoidal transfer function, transfer function, frequency domain, frequency response plot, Bode plot, Magnitude plot, phase plot, Nichols plot, M-circle, N-circle, Nichols chart, Bounded input Bounded output stability, root locus, Routh Hurwitz criterion, Nquist plot, open loop system, closed loop system, mechanical translational system, Laplace transform, mechanical rotational system, electrical system, analogous circuit, block diagram, signal flow graph

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

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: STA117

Topics: Scope of Statistics, statistical data, data types, scale of measurements, data collection, survey sampling techniques, Data presentation, Bar Charts, Histogram, polygons, graphs, Errors, approximation, Frequency, relative frequency, cumulative frequency distributions, Measure of location, Measure of dispersion, Skewness, Kurtosis, Rates, Ratios, index numbers, weight quantity, Rates, Ratio, index numbers

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: STA FUTO

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA431

Topics: Statistical Computing, file management, data entry, Data Manipulation, sort data, Standardize data, Descriptive Statistics, Chi-square, Frequencies, Normality test, graphs icon, scatter plot, error bars, histogram, Bar Chart, Line Graph, Pie Chart, Paired-sample t-test, ANOVA, Pearson's Correlation, Spearman's Correlation, covariance, linear regression, Straight Line Fit, Curved Line Fit, Multiple Linear Regression

Author: Thomas Connolly, Carolyn Begg

School: Edo University

Department: Science and Technology

Course Code: CMP222, CMP214

Topics: Database Systems, database environment, database languages, data definition language, data models conceptual modeling, database architectures, Multi-user DBMS Architectures, teleprocessing, Distributed DBMSs, data warehousing, cloud computing, Oracle Architecture, relational models, relational calculus, SQL, writing SQL commands, data manipulation, advanced SQL, object-relational DBMs, Database System Development Lifecycle, database analysis, database design, database planning, Entity–Relationship Modeling, Enhanced Entity–Relationship Modeling, normalization, Data Redundancy, Advanced Normalization, database security, data administration, database administration, concurrency control, database recovery, query processing, query optimization, distributed DBMs, Distributed Transaction Management, Distributed Concurrency Control, Distributed Deadlock Management, Distributed Database Recovery, data replication, data Replication Architecture, data Replication Schemes, object oriented DBMs, Scripting Languages, web, Common Gateway Interface, HTTP cookies, Microsoft’s Web Platform, JAVA, Oracle Internet Platform, Semi structured Data, XML, XML schema, XML Query Languages, Data Warehouse Architecture, Data Warehousing Tools, Data Warehousing Technologies, Data Warehousing Using Oracle, data mart, Data Warehousing Design, Online Analytical Processing, data mining, oracle data mining

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

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

Author: William Pratt

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: digital image processing, Continuous Image Mathematical Characterization, Continuous Image Characterization, light perception, eye physiology, visual phenomena, monochrome vision model, Photometry, Colorimetry, color matching, color spaces, image sampling, image reconstruction, Monochrome Image Sampling Systems, Monochrome Image Reconstruction Systems, Color Image Sampling Systems, image measurement, Discrete Image Mathematical Characterization, Vector-Space Image Representation, Generalized Two-Dimensional Linear Operator, Image Statistical Characterization, Image Probability Density Models, Linear Operator Statistical Representation, Finite-Area Superposition, Finite-Area Convolution, Sampled Image Superposition, Sampled Image Convolution, Circulant Superposition, circulant Convolution, General Unitary Transforms, Fourier transform, cosine transform, sine transform, Hartley transform, Hadamard Transforms, Haar Transforms, Daubechies Transforms, Karhunen–Loeve Transform, wavelet transforms, Linear Processing Techniques, Transform Domain Processing, Transform Domain Superposition, Fast Fourier Transform Convolution, Fourier Transform Filtering, image improvement, Image Enhancement, Contrast Manipulation, Histogram Modification, noise cleaning, Edge Crispening, Color Image Enhancement, Multispectral Image Enhancement, image restoration, image restoration models, Continuous Image Spatial Filtering Restoration, Pseudoinverse Spatial Image Restoration, Statistical Estimation Spatial Image Restoration, Multi-Plane Image Restoration, Geometrical Image Modification, Morphological Image Processing, binary image, Edge Detection, Image Feature Extraction, Image Segmentation, shape analysis, Image Detection, image Registration, Point Processing Image Compression, image compression, video compression, Spatial Processing Image Compression

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

Author: Lyman Ott, Michael Longnecker

School: University of Ilorin

Department: Science and Technology

Course Code: STA124, STA131, STA204, STA224, STA351, ECN414, STA433

Topics: Experimental Studies, Data Description, Probability, Probability Distributions, Population Central Values, inference, Multiple Comparisons, Categorical Data, Linear Regression, Correlation, Multiple Regression, General Linear Model, Analysis of Variance, Analysis of Covariance, Split-Plot, Repeated Measures, Crossover Designs

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: 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