use excel to find the following descriptive statistics for the price data see instructions
Using the data set that you identified in week 1, use Excel to find the following descriptive statistics for the price data.
Use these summary statistics to make two conclusions or observations about the typical vehicle in the sample. One conclusion must relate to the measure of center (mean/median) and one to the variability (standard deviation) of the vehicles.
Next, add an 11th vehicle to the data set. Choose a “supercar” that costs at least $1 million. Recalculate the summary statistics to include this vehicle.
Which summary statistics were affected the most by the addition of this outlier? How were they changed, and were you surprised by the results? I encourage you to review the Week 2 descriptive statistics PDF at the bottom of the discussion forums. This will give you a step by step example on how to calculate these values using Excel. I DO NOT recommend doing this by hand. Let Excel do the heavy lifting for you.
Instructions: Your initial post should be at least 150 words. You must also respond to at least 2 other students outside your initial thread. Responses should be a minimum of 50 words and may include direct questions. In your peer posts, consider the summary statistics of your classmates’ data sets. After the supercar was added to the data set, which summary statistic do you think more accurately reflects the typical vehicle price – the mean or median? Compare the standard deviation before the supercar was added and after it was added. Does this indicate greater variability in the original or modified data set? Based on this information, do you feel the standard deviation can help you identify the presence of an outlier? Why or why not? In your responses, refer to the specific data from your classmates’ posts. Make sure you include your data set in your initial post as well.
I will send two summary statistics when I receive them but you can continue with the initial post.