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Probability and Random Variables: The concepts of probability, random variables, their distributions, and their application in statistics.
Sampling Theory: Collecting, organizing, and analyzing data from a population to gain meaningful insights.
Variance and Stochastic Process: The concept of variance, its applications, interactive mathematical and statistical computing software and the theories of a stochastic process.
Max-type and Unbalanced T.P: The concepts of Max-type and unbalanced T.P and their usage in statistics.
Linear Programming and Queuing Theory: Optimization problems, mathematical models, and solutions to real-world problems through linear programming and queuing theory.
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Regression Analysis: Predicting relationships between two or more variables through regression analysis.
Central Tendency Measures: Describing central tendency in data through mean, median, and mode.
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Confidence Intervals: The concept of confidence intervals and the calculation and interpretation of them.
Z-tests, Chi-square Tests, T-tests: The methods of hypothesis testing and the usage of Z-tests, Chi-square tests, and T-tests.
ANOVA (Analysis of Variance): Analyzing differences between data groups through ANOVA.
Testing of Hypothesis: Making inferences about a population through hypothesis testing.
Power and Confidence Intervals: Power and confidence intervals and their calculation and interpretation.
Sample Surveys: Collecting, organizing, and analyzing data from a population sample.
Principal Components: Reducing complex data into simpler structures through principal components in factor analysis.
Scaling of Ratings and Scores: Scaling variables to rate and score them.
Causation and Correlation: Determining relationships between variables through the concepts of causation and correlation.
Factor Analysis: Simplifying complex data through factor analysis.

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SAS: A powerful and widely used data analytics software offering a comprehensive statistical analysis suite, data visualization, and predictive modeling tools.
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Tableau: A data visualization software that allows for creating mathematical and statistical computing software interactive dashboards, reports, and charts.
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NCSS: A statistical analysis and hypothesis testing software covering various topics from descriptive statistics to survival analysis.
GenStat: A software for statistical analysis and data management, providing a wide range of statistical procedures for data analysis, hypothesis testing, and graphical presentation of results.
WINPEPI: A software for epidemiological statistics, providing tools for descriptive and inferential statistics, sample size calculations, and survival analysis.
OpenEpi: A free and open-source software for epidemiological statistics, providing tools for descriptive statistics, hypothesis testing, and survival analysis.
Sigma XL: A software for data analysis, statistical inference, and graphical presentation of results providing a wide range of statistical procedures.
Unistat: A software for data analysis, graphical presentation of results, and statistical inference offering a wide range of statistical procedures.
GraphPad: A software for scientific graphing and data analysis, providing a wide range of statistical procedures and graphical presentation of results.
MINITAB: A statistical analysis and process improvement software providing a comprehensive suite of tools for data analysis and hypothesis testing.
SPSS: A widely used software for statistical analysis and hypothesis testing, providing a comprehensive suite of tools for data analysis and graphical presentation of results.
Num XL: A software for financial and econometric data analysis, providing tools for time series analysis, forecasting, and hypothesis testing.
RATS: A econometric and time series analysis software providing a wide range of statistical procedures and graphical presentation of results.
NLOGIT: A software for discrete choice analysis, providing tools for choice modeling, latent class analysis, and multinomial logit analysis.
SHAZAM: A software for econometric analysis, providing a wide range of statistical procedures, hypothesis testing, and graphical presentation of results.

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