Table of Contents

1. Data processing, presentation and interpretation
   1. Drawing a frequency diagram from grouped data.
   2. Distributions and skewness
   3. Covariance
   4. Histogram of heights from large data set
   5. Linear interpolation
   6. Histograms, box plots and statistics
   7. Stem and leaf plots, box plots and outliers
   8. Skewness of a probability distribution
2. The binomial distribution.
   1. Binomial distribution probability calculator
   2. Approximating a binomial distributionby a normal distribution.
3. The poisson distribution
   1. Approximating a Poisson distribution by a normal distribution.
4. The normal distribution
   1. The normal distribution.
   2. Inverse normal probability calculator
   3. The normal distribution
   4. Normal distribution probability calculator
5. Statistical hypothesis testing
   1. The distribution of the sample mean
   2. Central limit theorem for samples from a binomial dist
   3. Central limit theorem for samples from a Poisson dist
   4. Covariance and correlation introduction.
6. Continuous random variables
   1. Modelling students arriving late using a probability density function.
   2. A continuous probability density function.
   3. A probability density function.
   4. A continuous variable probability function.
   5. Using the cumulative distribution function to find probabilities.
   6. Continuous probability density function.
   7. Continuous probability density function.
   8. Finding the mode of a probability density function.
   9. t-distribution calculator
   10. Chi-Squared distribution calculator
7. Continuous uniform/rectangular distribution
   1. Continuous uniform/rectangular distribution.
   2. Continuous uniform distribution finding probabilities.
   3. Cumulative distribution function for continuous uniform distribution.
8. Other discrete distributions
   1. Poisson distribution calculator
   2. Hypergeometric distribution calculator
   3. Negative Binomial distribution
   4. Geometric distribution probability calculator