10.1 Population Proportion and the Sample Proportion
Recall that the population mean μ=∑xiN is a population parameter used to describe the population, where N is the population size (number of individuals in the population). The population proportion
p=# of individuals having a certain attributepopulation size=# of successesN
is another parameter used to describe the population. For example, the proportion of female students at MacEwan is defined as
p=# of female students at MacEwantotal number of students at MacEwan=# of successesN.
In this instance, picking a female student is regarded as a success.
Just as the sample mean ˉx=∑xin is used to estimate the population mean μ, the sample proportion ˆp is used to estimate the population proportion p, where
ˆp=# of individuals having a certain attribute in the samplesample size=# of successes in the samplen.
Here are several examples:
Examples
- A random sample of n = 100 students is obtained from MacEwan University. Of the 100 students in the sample, 65 are female. The sample proportion ˆp=xn=65100 provides a point estimate of p, the proportion of female students at MacEwan.
- A random sample of n = 1000 judo matches is obtained, and it is determined that 510 of the matches are won by the athletes wearing a blue uniform. The sample proportion ˆp=xn=5101000 is a point estimate of p, the proportion of winners in blue.
- A credit card company sends an advertisement to n = 500 randomly chosen customers and only 10 customers respond. The sample proportion ˆp=xn=10500 is a point estimate of p, the proportion of respondents.