Applied Statistics

Master probability theory, hypothesis testing, regression analysis, and statistical inference methods.

1. Statistical Distributions

Probability distributions, normal, binomial, and Poisson distributions

2. Sampling Distributions

Central limit theorem, sampling methods, and distribution of sample statistics

3. Confidence Intervals

Interval estimation, margin of error, and confidence levels

4. Hypothesis Testing

Null and alternative hypotheses, p-values, and significance testing

5. Chi-Square Tests

Goodness-of-fit tests, tests of independence, and contingency tables

6. Linear Regression

Simple and multiple regression, correlation, and prediction models

7. Analysis of Variance (ANOVA)

Coming Soon - Stay Tuned!

8. Nonparametric Tests

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9. Time Series Analysis

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10. Multivariate Analysis

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11. Bayesian Statistics

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12. Experimental Design

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13. Statistical Software Applications

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14. Advanced Regression Techniques

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