1. Data collection methods: Identify the different methods of data collection for each case study. Is this a quantitative, qualitative, or mixed-methods study? Explain your reasoning.
2. Apply Descriptive Statistics: Provide the best descriptive statistics to summarize the variables and discuss why those descriptive statistics are the best to use.
3. Testing Variables: Determine the best statistical test to examine the relationship between variables 1 and 2, 1 and 3, and 1 and 4. Discuss why this test is the best for this scenario.
4. Investigate the Data: Assess the quality of data for reliability, validity, potential bias, and limitations.
   1. Explain two pieces of information that you would want to know to assess the reliability of the data collected and discuss the significance of those two pieces.
   2. Explain two pieces of information that you would want to know to assess the validity of the data collected and discuss the significance of those two pieces.
   3. Discuss at least two potential biases within the data.
   4. Explain two limitations of the data.
5. Perform Statistical Inferences: State the null and alternative hypotheses and make an inference on those hypotheses based on the p value. Imagine you performed a t-test to compare mean values for variable 2 between the categories of variable 1. The p value for this test was p = 0.01. What would be the null and alternative hypotheses for this test? How would you interpret this p value?

Here is the case study: Nurse Educator Case Study

Researchers collected data from an elementary school to assess awareness of dietary guidelines among students at the school. A survey was sent to 200 students, of which 150 students responded, as 50 students did not receive parental permission to participate. So, the response rate was 75%.

The researchers decided to focus on determining whether three factors were associated with having good or poor awareness of dietary guidelines (variable 1), age (variable 2), gender (variable 3), and the distance from their home to the nearest supermarket (variable 4). For the last question, students needed to estimate this distance on their own.