ifr_os_prop_test
compares proportion in one group to a
specified population proportion.
Arguments
- data
numeric vector of length 1 or a
data.frame
ortibble
- variable
factor; column in
data
- prob
hypothesised proportion
- phat
observed 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.
Value
ifr_os_prop_test
returns an object of class "ifr_os_prop_test"
.
An object of class "ifr_os_prop_test"
is a list containing the
following components:
- n
number of observations
- phat
proportion of 1's
- p
assumed probability of success
- z
z statistic
- sig
p-value for z statistic
- alt
alternative hypothesis
- obs
observed number of 0's and 1's
- exp
expected number of 0's and 1's
- deviation
deviation of observed from expected
- std
standardized resiudals
References
Sheskin, D. J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. : Chapman & Hall/CRC.
Examples
# use as a calculator
ifr_os_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
ifr_os_prop_test(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
#> -----------------------------------------------------------------