Part 1: Collection of Data – Introduction and Primary Data Analysis(3 – 5 paragraphs): 1. Describe the objective: Before you can examine the data, you must understand the problem. a. Discuss the importance of this issue or situation. b. Introduce the company or organization you are preparing this report for, and explain why it is important to them. c. What is the research question? In other words, what is the basic question you, as the researcher, want to address? Why should we care about it? d. Was this an experimental or observational study? Explain. 2. Clearly and with sufficient detail, describe the population, sample, and collection methods in this study. a. What is the population you are interested in? b. What is the sample, specifically? c. What is a plausible way the sample was chosen and why? d. What problems or biases might have occurred from choosing that type of sampling method? 3. Discuss the type of data. a. Was the data quantitative or qualitative? Explain. b. What is the level of measurement (nominal, ordinal, interval and ratio)? Explain. 4. Describe the variables a. What are the independent and dependent variables? Give the type, units, and more specific information. b. Give examples of any confounding variables, lurking variables, and/or missing variables and explain how they may be affecting your study.
Part 2: Organization of Data – Examination of Descriptive Statistics (graphs and tables, and approximately 4 paragraphs) Now that your data is collected, you need to organize it to identify characteristics and patterns. 1. Graph your data appropriately. Construct a scatterplot, bar graph, or other graph to show the nature of the data. For each graph, be sure you label the graph completely – that means give it a title, label the axes, and explain what that graph means in the context of this narrative. 2. Discuss whether the data is normally distributed. For this, use a visual inspection of a Histogram and Normal Quantile Plot, as well as what you see in the data itself and what that means about the high and low ends of the data. 3. Calculate and present the three Measures of Central Tendency: mean, median, and mode. Provide both the value of the statistics as well as an analysis of what they mean in terms of understanding the sample. 4. Calculate and present the Measures of Variation: range and standard deviation. Provide both the value of the statistics as well as an analysis of what they mean in terms of understanding the sample. 5. Calculate and present the 5-Number Summary: minimum, Q1, median, Q3, maximum. Provide both the value of the statistics as well as an analysis of what they mean in terms of understanding the sample. 6. Identify any Outliers. You can do this using a visual inspection of the graph as well as the formulas from the textbook (HINT: Q1 – 1.5*IQR, and Q3 + 1.5*IQR). 7. Discuss any corrections: Based on your inspection of the outliers are there any errors that should be corrected? How would you correct them? Discuss the implications of this result.