P-value for proposed population parameter

Calculates the p-value for a proposed parameter.

Usage

pval_chisq(s, n, sigma, side = c("two", "one"))

pval_F(s1, n1, s2, n2, side = c("two", "one"))

pval_t(x, s, n, mu, side = c("two", "one"))

pval_t2(x1, s1, n1, x2, s2, n2, dmu = 0, side = c("two", "one"))

pval_z(x, sig, n, mu = 0, side = c("two", "one"))

pval_corr(r, n, side = c("two", "one"))

Arguments

s

Sample standard deviation

n

Sample size

sigma

Population standard deviation

side

To either get a two-tail or one-tail p-value (Default is "two")

s1

Sample's 1 standard deviation

n1

Sample size of sample 1

s2

Sample's 2 standard deviation

n2

Sample size of sample 2

x

Sample mean

mu

Population mean

x1

Sample's 1 mean

x2

Sample's 2 mean

dmu

Proposed difference between sample means (Default is 0)

sig

Population standard deviation

r

The coefficient of correlation to test

Value

P-value

See also

Other statistics: NewStats_2samples(), NewStats_contrasts(), R_crit(), Spearman_crit(), ci_chisq()

Examples

s <- 0.535
n <- 10
sig <- 1
pval_chisq(s, n, sig)
#> [1] 0.0425

s1 <- 3.1
n1 <- 15
s2 <- 0.8
n2 <- 12
pval_F(s1, n1, s2, n2)
#> [1] 6.92e-05

x <- 6.14
s <- 0.803
n <- 9
mu <- 7
pval_t(x, s, n, mu)
#> [1] 0.0124

x1 <- 34.67
s1 <- 4.97
n1 <- 15
x2 <- 40.87
s2 <- 5.36
n2 <- 15
pval_t2(x1, s1, n1, x2, s2, n2)
#> [1] 0.00274

x <- 2.6
sig <- 0.3
n <- 36
mu <- 2.5
pval_z(x, sig, n, mu)
#> [1] 0.0455

r <- 0.597
n <- 10
pval_corr(r, n)
#> [1] 0.0684