Download Business Statistics - BUS204 Past Question PDF

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Topics: Descriptive Statistics, Inferential Statistics, Test of Hypothesis, Chi-Square Test, Confidential Interval, Linear Regression, Correlation Theory, Forecasting, Time Series, Forecast Assumption

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

Topics: Business Statistics, data collection, sampling methods, probability, discrete probability distribution, continous probability distributions, sampling distributions, estimation, hypothesis testing, hypothesis tests, analysis of variance, Chi-square applications, nonparametric methods, regression, simple linear regression, correlation, multiple regression, multiple correlation, model building, time series, forecasting, decision theory, total quality management

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

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