prop_test compares proportion in one group to a specified population proportion.

prop_test(n, prob = 0.5, alternative = c("both", "less", "greater", "all"),
  ...)

# S3 method for default
prop_test(n, prob = 0.5, alternative = c("both", "less",
  "greater", "all"), phat, ...)

# S3 method for factor
prop_test(n, prob = 0.5, alternative = c("both", "less",
  "greater", "all"), ...)

Arguments

n
number of observations
prob
hypothesised proportion
alternative
a character string specifying the alternative hypothesis, must be one of "both" (default), "greater", "less" or "all". You can specify just the initial letter.
...
other arguments
phat
observed proportion

Value

prop_test returns an object of class "prop_test". An object of class "prop_test" is a list containing the following components:

References

Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.

See also

prop.test binom.test

Examples

# use as a calculator prop_test(200, prob = 0.5, phat = 0.3)
#> Test Statistics #> -------------------------- #> Sample Size 200 #> Exp Prop 0.5 #> Obs Prop 0.3 #> z -5.6569 #> Pr(|Z| > |z|) 0 #> #> ----------------------------------------------------------------- #> Category Observed Expected % Deviation Std. Residuals #> ----------------------------------------------------------------- #> 0 140 100 40.00 4.00 #> 1 60 100 -40.00 -4.00 #> -----------------------------------------------------------------
# using data set prop_test(as.factor(hsb$female), prob = 0.5)
#> Test Statistics #> ------------------------- #> Sample Size 200 #> Exp Prop 0.5 #> Obs Prop 0.545 #> z 1.2728 #> Pr(|Z| > |z|) 0.2031 #> #> ----------------------------------------------------------------- #> Category Observed Expected % Deviation Std. Residuals #> ----------------------------------------------------------------- #> 0 91 100 -9.00 -0.90 #> 1 109 100 9.00 0.90 #> -----------------------------------------------------------------