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When the random variables take an infinite number of values the graph of the results is very often a normal curve so when a probability distribution deals with continuous random variables it refers to a family of continuous probability distributions described by the normal equation, which is termed as the normal probability distribution.
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- Binomial Distribution
- Chi-Square Distribution
- Stats Data
- Degrees Of Freedom (Statistics)
- Descriptive Statistics
- Errors And Residuals In Statistics
- Experimental Design
- Frequency Distribution Table
- Inferential Statistics
- Monte Carlo Method
- Normal Distribution
- Probability Distribution
- Random Variable
- Regression Toward The Mean
- Sampling Bias
- Sampling Distribution
- Statistical Survey
- Time-Series Analysis
- Discrete And Continuous Probability
- Poisson Distribution
- Geometric Distribution
- Confidence Intervals
- Hypothesis Testing
- Central Limit Theorem
- Bar, Pie, Histogram
- Standard Deviation
- Mean Deviation
- Nonparametric Methods
- Sampling Techniques
- Anovas (1-Way, N-Way, Kruskal-Wallis...)
- Goodness Of Fit & Independence Tests.
- Simple Regression
- Multiple Regressions...
- Cumulative Probability Distributions
- Uniform Probability Distribution