PLEASE HELP ASAP!!

Let's continue our observational study started with the discussions from chapters 1 and 2. If you have not yet completed the descriptive statistics discussion, please take some time to do so. At the very least, you will need the data you collected as part of that discussion to complete the chapter 3 discussion (as well as one more future discussion).

If you do not expect to complete the descriptive statistics discussion you can use Joel's Sample Data (comma delimited format). Otherwise, please use your own data.

For the sample of inmates we have collected, not a lot of conclusions can be drawn from the raw data alone. Organizing and presenting our data with frequency distributions and their associated graphs are important first steps towards analysis, but we need more ways to summarize and describe our data. For this discussion, we will describe our data's center, variability, and relative position by submitting a post with the following details:

1. First, attach a copy of your sample data from the descriptive statistics discussion board. I will use this to verify the measures you will calculate in the parts below.
2. For the sample of inmates you collected, calculate the mean, median, and mode of the weights of those inmates of Polk County Jail. I would recommend using Excel, StatCrunch, or even a TI-graphing calculator to generate these statistics.
3. Based on the sample mean and median weights calculated from the previous step, what would you predict to be the shape of the distribution of weights of those inmates of Polk County Jail? If you had to choose between the mean and median to characterize the center of your distribution, which would be the most appropriate for this study and why?
4. For the sample of inmates you collected, calculate the standard deviation, 5-number summary (minimum, lower quartile, median, upper quartile, and maximum), and interquartile range of the weights of those inmates of Polk County Jail. If you had to choose between the standard deviation and interquartile range to characterize the variability of your distribution, which would be the most appropriate and why?
5. Finally, use the sample mean and standard deviation weights you calculated from parts (2) and (4) to calculate the z-score of your own weight, x, relative to the weights of those inmates of Polk County Jail. If you are like mehave packed away some extra pounds due to self-quarantining, and would rather not admit your current weightfind the weight of an actor who plays your favorite criminal. For example, Anthony Hopkins played Hannibal Lecter in Silence of the Lambs (1991). Google reports his current weight at 180 pounds. Or maybe Uzo Adubashe stole every scene as Suzanne "Crazy Eyes" Warren in Orange is the New Black. CelebFacts.com reports her weight at 143 pounds.
6. Based on your z-score, would someone of your weight (or your favorite actor) be considered to be unusually under or overweight in comparison to your sample of inmates? Why or why not?