ztest: z Tests with Known Standard Deviations

In R4VN: Health Data Analysis and Publication-Ready Reporting

z Tests with Known Standard Deviations

Description

Performs one- or two-sample z tests when population standard deviations are known.

Usage

ztesti(
  n1,
  mean1,
  sd1,
  n2 = NULL,
  mean2 = NULL,
  sd2 = NULL,
  mu = 0,
  alternative = c("two.sided", "less", "greater"),
  level = 0.95,
  digits = 3,
  p_digits = 3,
  show = TRUE,
  console = FALSE
)

ztest(
  x,
  sigma1,
  y = NULL,
  sigma2 = NULL,
  by = NULL,
  data = NULL,
  mu = 0,
  alternative = c("two.sided", "less", "greater"),
  level = 0.95,
  digits = 3,
  p_digits = 3,
  show = TRUE,
  console = FALSE
)

Arguments

n1, mean1, sd1	Summary statistics for sample 1.
n2, mean2, sd2	Optional summary statistics for sample 2.
mu	Null mean or mean difference.
alternative	Alternative hypothesis.
level	Confidence level.
digits, p_digits	Decimal places for estimates and p-values.
show	Logical; open the formatted result in the Viewer. Default TRUE.
console	Logical; also print the traditional text result in the Console. Default FALSE.
x, y	Numeric variables.
sigma1, sigma2	Known population standard deviations.
by	Optional two-level grouping variable.
data	Data frame. If NULL, active data is used.

Value

Invisibly returns an object of class r4vn_stat.

Examples

ztesti(100, 52, 10, mu = 50)

R4VN documentation built on Sept. 30, 2026, 5:13 p.m.