Visualize how changes in mean and standard deviation affect the shape of the normal distribution. Compute & visualize quantiles out of given probability and probability from a given quantile.

dist_norm_plot(mean = 0, sd = 1) dist_norm_perc(probs = 0.95, mean = 0, sd = 1, type = c("lower", "upper", "both")) dist_norm_prob(perc, mean = 0, sd = 1, type = c("lower", "upper", "both"))

mean | Mean of the normal distribution. |
---|---|

sd | Standard deviation of the normal distribution. |

probs | Probability value. |

type | Lower tail, upper tail or both. |

perc | Quantile value. |

Percentile for the `probs`

based on `mean`

, `sd`

and
`type`

or probability value for `perc`

based on `mean`

,
`sd`

and `type`

.

`norm_plot()`

, `norm_prob()`

and `norm_per()`

have been
deprecated. Instead use `dist_norm_plot()`

, `dist_norm_prob()`

and
`dist_norm_per()`

.

# visualize normal distribution dist_norm_plot()dist_norm_plot(mean = 2, sd = 0.6)# visualize probability from a given quantile dist_norm_prob(3.78, mean = 2, sd = 1.36)dist_norm_prob(3.43, mean = 2, sd = 1.36, type = 'upper')dist_norm_prob(c(-1.74, 1.83), type = 'both')# visualize quantiles out of given probability dist_norm_perc(0.95, mean = 2, sd = 1.36)dist_norm_perc(0.3, mean = 2, sd = 1.36, type = 'upper')dist_norm_perc(0.95, mean = 2, sd = 1.36, type = 'both')