Statistical Data Evaluation Books
Quantitative techniques in business, management and finance a case-study approach
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
Research in Education, 10th education
Author: John Best, James Kahn, Arbind Jha
School: Edo University
Department: Administration, Social and Management science
Course Code: MAC310
Topics: research, populations, sampling, applied research, action research, research proposal, research report, thesis, dissertation, research methods, Historical Criticism, descriptive studies, assessment studies, evaluation studies, experimental research, quasi-experimental research, experimental validity, experimental design, Single-Subject Experimental Research, Manipulating Variables, qualitative research, data collection techniques, inquiry forms, questionnaire, opinionnaire, data analysis, descriptive analysis, normal distribution, statistical measures, inferential data analysis, statistical inference, central limit theorem, hypothesis testing, computer data analysis
Author: Femi Ayoola, JF Ojo, Remi Raji-Oyelade
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: Statistical Inference, sampling, statistics, Sampling Techniques, Non-Probability Sampling Techniques, Large Sample Distribution of Means, Difference of Means, Central Limit Theorem, Sampling Distribution of Means, Large Sample Distribution of Proportion, Difference of Proportions, Large Sample Interval Estimation, estimation, Hypothesis Testing, Null Hypothesis, Scatter Diagram, Simple Bivariate Regression Model, Least Square Method, Correlation Analysis, Spear’s Ranking Order Correlation, Time Series Analysis, time series
Applied Linear Statistical Models 5th Edition Instructors Solutions Manual
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
Applied Linear Statistical Models,5th edition
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
Elementary Statistical Quality Control ,2nd Edition
Author: John Burr
School: University of Ibadan
Department: Science and Technology
Course Code: STA341
Topics: Statistical Quality Control, Quality Control, Simple Probability, Probability Distributions, control charts, process control, process capability, Acceptance Sampling, sampling, Sampling by Variables, Linear Correlation, Regression, Reliability
Statistical Methods in Agriculture and Experimental Biology ,2nd edition
Author: Mead, RN Curnow, AM Hasted
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Probability, distributions, Estimation, hypothesis testing, random variation, randomized block design, Latin square designs, factorial treatment structure, Linear regression, Variance homogeneity, linear relationships, Linear models, non-Linear models, analysis of proportions, experimental measurements, experimental measurements analysis, Sampling finite populations, Experimental Biology, Agricultural Statistical Methods
Author: OI Shittu
School: University of Ibadan
Department: Education
Course Code: SPE321
Topics: Statistical Inference, Point Estimation Techniques, Least Squares Method, Simple Linear Model, Least Squares Estimator, Maximum Likelihood, Cramer–Rao lower bound, Sufficiency, Fisher-Neyman Criterion, Test of Hypothesis
Principles of Data Mining, 3rd edition
Author: Max Bramer
School: University of Ilorin
Department: Science and Technology
Course Code: CSC405, ICS402
Topics: data mining, classification, Naıve Bayes Classifiers, Nearest Neighbour Classification, decision tree, continuous attributes, entropy, ROC, ensemble classification, comparing classifiers, association rule mining, clustering, text mining, classifying streaming data
Project Planning, Management, Monitoring and Evaluation
Author: KAA LawaL, ZO Amoo
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: CRD407
Topics: Project Planning, Project Management, Project Monitoring, Project Evaluation, Project Controlling, Project Control Systems, Project Management Roles, Project Implementation, Project Manager, Management Skills, PROJECT PLANNING MANAGEMENT, Capital Theory, Time Value of Money, Time Value of Money, Portfolio Management, Discounted Cash Flow Criteria
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