Based on this assumption, let’s simulate collecting random samples of 100 students and calculate some confidence intervals. Our goal is to see how often a confidence interval will accurately estimate the population proportion. By this we mean that the confidence interval contains the population proportion of0.80. Verify that the distribution of sample proportions for this situation can be modeled by a normal
According to the Community College Research Center, 80% (or more) of community college students intend to earn at least a bachelor’s degree.
Source: http://ccrc.tc.columbia.edu/media/k2/attachments/what-we-know-about-transfer.
For our simulation, let’s assume that 80% is a population parameter. In other words, we are going to assume that the finding in this study actually holds true for the entire population of community college students.
Based on this assumption, let’s simulate collecting random samples of 100 students and calculate some confidence intervals. Our goal is to see how often a confidence interval will accurately estimate the population proportion. By this we mean that the confidence interval contains the population proportion of0.80.
- Verify that the distribution of sample proportions for this situation can be modeled by a normal
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