1.Develop a question(s)

Scenario: In a random sample of 1000 students who applied to be a first-year undergraduate student Harvard for fall 2020, 49 students were accepted

2.Determine your population of interest- Students that are currently applying for Harvard and founding out how many got accepted.

3.Create a sampling frame- I'll be talking the sample using the list of 1000 students that applied as the sample frame which would have their email. I could ask if they either been accepted or not. Of the 1000 surveys emailed, only 500 said they were accepted.

4.Sample correctly-We will not be canvassing people on the streets or at any location, as discussed inclass. You should be concerned about any biases that could be introduced to your hypothetical sample of respondents (people).

5.Check the conditions for inference- Make sure to check the conditions and assumptions for the type of confidence interval you are creating.

6.Create a confidence interval- you will be prepared to create a confidence interval based on your data.

7.Analyze- Create a summary of the results of your data. In other words, tell the reader of your study (your survey) what the data says in relation to your original question(s). You will do this by showing the reader your confidence interval, and correctly interpreting the interval.

The questions I need help with is #4-7. The questions is focusing on the scenario: In a random sample of 1000 students who applied to be a first-year undergraduate student Harvard for fall 2020, 49 students were accepted