Arial 10 BIU A. A. The data we will analyze was collected by a faculty member at the University of lowa, at the time they were looking to buy a house in lowa City. The faculty member gathered data from the Johnson County government with the goal of using statistical methods to make sure they would get a good deal. Pose the question: 1. Describe your project topic. You might want to describe the characteristics that were measured for each home you have chosen to include in your project (Choose 30 - 50 (rows - homes for your sample). Even though there are several characteristics to choose from, please describe only the main numenc topic (column's) of this project. You will not analyze your categorical data until problem #11. 2. For the quantitative variable you have selected, estimate what you believed the population mean was and explain why you chose that number. You are asked to pinpoint a specific value rather than a range of numbers, this estimate is for the population and was originally meant to be found BEFORE any data was collected (and therefore should not come from the data). Note you are using sample data, but we will be using that sample data later to test our guess about the population mean. Again, do not concern yourself with the categorical data until you get to problem #11. (2 points) The source of the data and the sampling method: 3. Our lessons and videos gave us many guidelines for taking the "perfect sample" in a perfect world - a world where we can identify everyone or everything in the population, where we have unlimited resources to collect our data, where we can take an unbiased sample with 100% response or 100% usable data, and where the sample is a good representation of the population. Most likely, you are not able to have access to a perfect sample. However, in a perfect world, how would you have taken a sample if you had all necessary resources? Please provide all relevant details that address the guidelines we have studied regarding population and sampling- describe what resources you would need and how you would use them, which random sampling technique you would use and why, and how your methods would reduce selection bias, nonresponse bias, and response bias. (5 points) Please review the Population provided. Then provide a detailed description of how you chose your 30 - 50 homes for your sample, what method(s) did you use? This should include. What were the details within the population that helped you eliminate 747 or more homes from the4. Please review the Population provided. Then provide a detailed description of how you chose your 30 - 50 homes for your sample; what method(s) did you use? This should include. What were the details within the population that helped you eliminate 747 or more homes from the population to use as your sample? Did you randomly select your 30 - 50 homes, or use a systematic sample, etc. Since we did not actually collect this data ourselves, we need to explain what details within the given population were appealing to you... as if you were looking to buy a home in lowa. (5 points) Issues of representation and sampling bias: 5. What were the challenges you faced in choosing your representative or random sample? What is the difference between a random sample, a representative sample, and a systematic sample? Does random sampling guarantee representative samples? Are you choosing to use the data given to you as the population or are you choosing to use all homes in lowa? Cite your sources. (2 points) 6. Depending on what you are treating as the population (the given data list or all homes in lowa) ... Overall, how well do you think your sample represented the population? This analysis should include things such as... What subgroups are in your population? Even if a stratified sample was not taken, most populations do contain subgroups. Since the sample contains objects, are the proportions from the population subgroups comparable to the proportion of those groups in your sample? Do the ages of the objects in your sample accurately reflect the distribution of the ages of the objects in
