The Wald test with continuity correction for the binomial probability

Source: R/Wald_test_CC_1x2.R

The Wald test with continuity correction for the binomial probability (pi)

H_0: pi = pi0 vs H_A: pi ~= pi0 (two-sided)

Wald_test_CC_1x2(X, n, pi0)

Arguments

X

the number of successes

n

the total number of observations

pi0

a given probability

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

Examples

# The number of 1st order male births (adapted from Singh et al. 2010)
Wald_test_CC_1x2(singh_2010["1st", "X"], singh_2010["1st", "n"], pi0 = 0.1)
#> The Wald test with continuity correction: P = 0.00000, Z = 17.029
# The number of 2nd order male births (adapted from Singh et al. 2010)
Wald_test_CC_1x2(singh_2010["2nd", "X"], singh_2010["2nd", "n"], pi0 = 0.1)
#> The Wald test with continuity correction: P = 0.00000, Z = 15.993
# The number of 3rd order male births (adapted from Singh et al. 2010)
Wald_test_CC_1x2(singh_2010["3rd", "X"], singh_2010["3rd", "n"], pi0 = 0.1)
#> The Wald test with continuity correction: P = 0.00000, Z = 13.656
# The number of 4th order male births (adapted from Singh et al. 2010)
Wald_test_CC_1x2(singh_2010["4th", "X"], singh_2010["4th", "n"], pi0 = 0.1)
#> The Wald test with continuity correction: P = 0.00000, Z = 9.439
# Ligarden et al. (2010)
Wald_test_CC_1x2(ligarden_2010["X"], ligarden_2010["n"], pi0 = 0.1)
#> The Wald test with continuity correction: P = 0.00000, Z = 6.982