changelog.txt

# simplestatistics changelog

## 0.4.0

2017-11-16

### Added

- `covariance()` - calculate sample covariance
- `add_to_mean()` - calculates new mean after adding value(s)
- `sinh()` - hyperbolic function (sinh)
- `cosh()` - hyperbolic function (cosh)
- `tanh()` - hyperbolic function (tanh)
- `gamma_function()`
- `beta()`

## 0.3.0

2016-12-03

### Added

- `error_function()` - Gauss error function
- `chi_squared_dist_table()` - A table of χ2 values vs p-values
- `bernoulli()` - the Bernoulli distribution
- `poisson()` - the Poisson distribution

## 0.2.5

2016-09-24

### Added

- `harmonic_mean()`
- `bayesian_classfier()`
- `perceptron()`
- `coefficient_of_variation()` (Thanks to Lidiane Taquehara (lidimayra))

### Improved

- Allow user to specify `sample = False` in `standard_deviation()`,
`coefficient_of_variation()`, `z_scores()` (Thanks to Lidiane Taquehara
(lidimayra))

## 0.2.0

2016-08-27

### Added

- `linear_regression_line()` returns a function that, provided with a (m, b)
tuple, where m is the slope and b is the y intercept, calculates y values
based on given x values.
- `root_mean_square()`
- `interquartile_range()`
- `sum_nth_power_deviations()` to calculate sum of the deviations raised to Nth power.

## 0.1.5

2016-07-30

### Added

- `factorial()`
- `choose()`
- `binomial()` to calculate binomial distribution probabilities
- `normal()` to calculate normal distribution probabilities
- `kurtosis()` to calculate kurtosis/"tailedness" of a probability distribution of a variable
_ `skew()` to calculate Pearson's moment coefficient of skewness
- `linear_regression()` to calculate slope (m) and y intercept (b) of line of
best fit.


### Improved

- Reorganized documentation.

### Improved

- 100% test coverage

## 0.1.3

2016-06-06

### Added

Functions for calculating correlation coefficients, products of vectors,
quantiles, and sums.

- `correlate()`
- `product()`
- `quantiles()`
- `sum()`