# coin: Theoretical Probability Distribution of Flipping Coins In clttools: Central Limit Theorem Experiments (Theoretical and Simulation)

## Description

Mean and probability of flipping fair or loaded coin

## Usage

 `1` ```coin(n, prob = NULL) ```

## Arguments

 `n` number of trials `prob` probability assigned to each possible outcome

## Details

The default probabilty equals to 1/n. All the assigned probabilites must between 0 and 1.

## Value

Mean value and corresponding probabilities for all possible outcomes.

## Examples

 ```1 2``` ```coin(n = 4) coin(6, c(0.1, 0.9)) ```

### Example output

```  MEAN_VALUE PROBABILITY
1       0.00      0.0625
2       0.25      0.2500
3       0.50      0.3750
4       0.75      0.2500
5       1.00      0.0625
MEAN_VALUE PROBABILITY
1  0.0000000    0.000001
2  0.1666667    0.000054
3  0.3333333    0.001215
4  0.5000000    0.014580
5  0.6666667    0.098415
6  0.8333333    0.354294
7  1.0000000    0.531441
```

clttools documentation built on May 2, 2019, 9:17 a.m.