Hypothesis test of equal proportions in a between-subjects design

Source: R/statpsych3.R

Computes a Pearson chi-square test for equal population proportions for a dichotomous response variable in a one-factor between-subjects design.

test.prop.bs(f, n)

Arguments

f

vector of frequency counts of participants who have the attribute

n

vector of sample sizes

Value

Returns a 1-row matrix. The columns are:

  • Chi-square - chi-square test statistic

  • df - degrees of freedom

  • p - p-value

References

Fleiss JL, Paik MC (2003). Statistical Methods for Rates and Proportions, 3rd edition. Wiley.

Examples

f <- c(35, 30, 15)
n <- c(50, 50, 50)
test.prop.bs (f, n)
#>  Chi-square df            p
#>    17.41071  2 0.0001656958

# Should return:
# Chi-square df            p
#   17.41071  2 0.0001656958