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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.

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