Learn R Programming

boostmath (version 1.4.0)

z_tests: Z-Tests

Description

Functions for Z - Tests.

Usage

one_sample_z_test_params(
  sample_mean,
  sample_variance,
  num_samples,
  assumed_mean
)

one_sample_z_test(u, assumed_mean)

two_sample_z_test(u, v)

Value

A two-element numeric vector containing the t-statistic and the p-value.

Arguments

sample_mean

A single value.

sample_variance

A single value.

num_samples

A single value.

assumed_mean

A single value.

u

A numeric vector.

v

A numeric vector.

See Also

Boost Documentation for more details on the mathematical background.

Examples

Run this code
# One Sample T-Test Parameters
one_sample_z_test_params(sample_mean = 2, sample_variance = 1, num_samples = 30, assumed_mean = 0)
# One Sample T-Test
one_sample_z_test(c(5, 6, 7), assumed_mean = 4)
# Two Sample T-Test
two_sample_z_test(c(5, 6, 7), c(4, 5, 6))

Run the code above in your browser using DataLab