# Download Statistics for accounting and finance 2015, 2017-2019 - ACC233 FIN233 Past Question PDF

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Statistics for accounting and finance 2015, 2017-2019 past question for the year 2019 examines 200-level Administration, Social and Management science students of UNILORIN, offering ACC233, FIN233 course on their knowledge of 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

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## Past Questions related to Statistics for accounting and finance 2015, 2017-2019

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: 2019

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: IPE502

Topics: Production planning, economic order quantity, process layout, product layout, simple transfer line, component cost, batch quantity curve, fixed order quantity inventory management, percentage capacity utilization, milling machine, forecasting, least square method, production planning, production control, production programming, inventory

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: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC510

Topics: model development, mathematical model, markov model, exponential model, cubic model, inverse model, CPU, linear programming, allocation problem

Year: 2021

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: ACC312

Topics: Research Methodology, Research, Hypothesis, Population research, Sample research, sampling

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: 2021

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: SSC202

Topics: Frequency polygon, statistical levels of measurement, deviations, variance, probability, probability sampling techniques

Year: 2020

School: Federal University of Technology, Owerri

Department: Agriculture and Veterinary Medicine

Course Code: AEC403

Topics: Microeconomic analysis, demand curve, total effect, price effect, substitution effect, utility function, equimarginal utility principle, economy social welfare, equilibrium price, equilibrium quantity, perfect competitive market, explicit function, oligopoly, monopsony, elasticity price demand, income elasticity demand

Year: 2023

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: BUS307

Topics: Production management, operation management, least cost method transportation problem, inventories

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: 2019

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: STA331

Topics: regression, variance, linear model, partial correlation

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

Year: 2020

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: STE401

Topics: Structural analysis, consistent deformation method, collapse moment, collapse mechanism, plastic moment capacity, fixed end moments, stiffness factor, carry-over factor, moment equation method

### Books related to Statistics for accounting and finance 2015, 2017-2019

Author: LAWAL Kamaldeen

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ENT330

Topics: Business Forecasting, business forecasts, Forecasting-External Factors, Forecasting Demand for New Products, Forecasting Demand, Good Forecasting Method, business forecasting limitations, forecasting system, Market Demand Forecasting, Assumptions of Forecasting, Quantitative Forecasting Methods, Qualitative Forecasting Approaches, Methods of Forecasting, Time Series Forecasting Method, Moving Average Method, Simple Moving Average Method, Exponential Smoothing, Weighted Moving Average, trend lines, Least-squares method, Monitoring Forecast, Controlling Forecast, Profit Forecasting, Material Forecasting

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: 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: 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: 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

Author: Samuel Olumuyiwa Olusanya

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355

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

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: Michael Evans

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM309

Topics: Business Forecasting, Linear Regression Model, Linear Model, Single-equation Regression Models, Distributed Lags, Dummy Variables, Nonlinear Regressions, Equation Stability, Equation Robustness, Smoothing Data, Time-series Decomposition Model, Linear Trends, Nonlinear Trends, Univariate Time-series Modeling, ARMA Model, Sales Forecasting, Long-term Forecasting, Macroeconomic Forecasting, Macroeconomic Model

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: Steven Thompson

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

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

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO450

Topics: Statistical Inference, Applied Statistics, sampling distribution, probability distribution, Analysis of Variance, Analysis of Covariance, Multiple Regression Analysis, Estimation of multiple regressions, Partial correlation coefficient, Multiple correlation coefficient, coefficient of determination, time series, Time Series Analysis, price index

Author: AGR NOUN

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AGR305

Topics: 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

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: SMS202

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

Author: Ibrahim Danjuma

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM309

Topics: business forecast, business forecasting, Sampling Technique, Survey Methodology, Time Series Analysis, Statistical Inference, Input-Output Analysis, game theory, Financial Forecasting, Market Forecasting

Author: CI Okeke, Martha Oruku, Oba Adenuga

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: MKT827

Topics: Product Planning, Product Development, Organizational Products, Product Line, Product Mix, Product Life Cycle, New Product Development, New Product Idea Generation, New Product Idea Screening, New Product, Product Development, New Product Positioning, Packaging, Marketing Strategy, Product Management, Labeling, Pre-Test Market Models, Product Rollout Commercialization, Why New Products Fail, branding

Author: Michael de Smith

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

Author: Prasanna Chandra

School: Alex Ekwueme Federal University, Ndufu-Alike

Department: Administration, Social and Management science

Course Code: ECO316

Topics: Project evaluation, capital investments, capital budgeting, decision making, project analysis, strategy, resource allocation, portfolio strategy, business level strategies, strategic planning capital budgeting, corporate appraisal, market surveyor, demand analysis, marketing plan, technical analysis, product mix, plant capacity, financial estimates, cost of production, profitability projections, projected cash flow statement, projected balance sheet, multi-year projections, time value of money, investment criteria, Net present value, benefit cost ratio, profitability index, payback period, project cash flows, cash flow illustrations, cost of capital, cost of debt, cost of equity, weighted average cost of capital, weighted marginal cost of capital, flotation cost, project risk analysis, sensitivity analysis, scenario analysis, break-even analysis, Hiller model, simulation analysis, decision tree analysis, managing risk, portfolio theory, capital budgeting, optimal timing, inflation, social cost benefit analysis, income distribution impact, linear programming model, integer linear programming model, goal programming model, managerial intuition, managerial judgement, reverse financial engineering, group process, capital structure, equity capital preference capital, debentures, term loans, project financing structure, financial closure, financial institutions, venture capital, private equity, infrastructure projects, public-private partnership, corporate governance, project management, project planning, project control project risk, time estimation, PERT Model, CPM Model, network cost system, project review, abandonment analysis, agency problem