draw_n: Draw normal distribution curve
In interpretCI: Estimate the Confidence Interval and Interpret Step by Step

Description Usage Arguments Value Examples

View source: R/draw_n.R

Draw normal distribution curve

1	draw_n(mean = 0, sd = 1, z = NULL, p = 0.05, alternative = "two.sided")

`mean`	vector of means
`sd`	vector of standard deviations
`z`	vector of quantiles
`p`	vector of probabilities
`alternative`	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

A ggplot

draw_n()
draw_n(alternative="less")
draw_n(alternative="greater")
draw_n(z=-1.75)
draw_n(z=-1.75,alternative="greater")
draw_n(z=-1.75,alternative="less")

interpretCI documentation built on Jan. 28, 2022, 9:07 a.m.

interpretCI index

README.md Confidence interval for a mean Confidence interval for a proportion Confidence interval for the difference between proportions Confidence interval for the paired mean difference Confidence interval for the unpaired mean difference Hypothesis test for a difference between means Hypothesis test for a mean Hypothesis test for a proportion Hypothesis test for the difference between paired means Hypothesis test for the difference between proportions R package interpretCI

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