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Given the sample size, $n=61239$

The Ontario Health Survey was undertaken by the Ministry of Health in the Canadian province of Ontario to see if the national health-care system was accomplishing its objectives in the province.

A simple random sample (SRS) of size $n$ is made up of $n$ people chosen from the population with an equal chance of being the sample that is actually chosen.

The Ministry of Health in Ontario aims to know if the national healthcare system is meeting its objectives in the province through the Ontario Health Survey. In a statistical study, the population refers to the complete group of people who need to know something. As a result, the population is mostly Ontario residents. A sample is a subset of the population from which we collect data. A random sample of $61239$ people living in was interviewed by the Ministry of Health Survey. As a result, the $61239$ people interviewed from the sample.

According to the Ontario Health Survey, $76$ percent of males and $86$ percent of females visited a general practitioner at least once in the previous year. A random sample of $61239$ people living in was interviewed by the Ministry of Health Survey. The sample should be picked at random and the sample size should be very large when reaching the conclusion. Because the sample size is substantial, the sample is a "random sample," and the sample has a large proportion of both sexes, it is reasonable to assume that the two figures are accurate reflections of the values for the entire population.