find sample proportion
p-hat = count on success (individuals that participated) / n (srs/ sample total size)
A sample proportion refers to the proportion of observations or cases in a sample that have a specific characteristic or attribute. It can be calculated by dividing the number of cases with the characteristic by the total number of cases in the sample. Here’s an example:
Suppose you want to know the proportion of individuals in a sample of 100 who prefer coffee over tea. You ask each participant whether they prefer coffee or tea, and 60 of them report that they prefer coffee. The sample proportion of individuals who prefer coffee can be calculated as follows:
Sample proportion = Number of individuals who prefer coffee / Total number of individuals in the sample
= 60/100
= 0.6
Therefore, the sample proportion of individuals who prefer coffee in this sample is 0.6 or 60%.
More Answers:
Minimizing Non-Sampling Errors In Data Collection And Analysis: Tips And ExamplesMaximizing Data Accuracy: And Minimizing Random Sampling Errors
Calculating Margin Of Error For Statistical Surveys: Formula And Example