MATH 302 Week 2 Discussion | American Public University System
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- 23 Jun 2021
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MATH 302 Week 2 Discussion | American Public University System
Week
2 Forum / Topic: Frequency distributions
and graphs; Data description
Using the data set that you
identified in week 1, use Excel to find the following descriptive statistics
for the price data.
Descriptive statistics:
Mean
Median
Standard Deviation
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.
Descriptive statistics:
Mean
Median
Standard Deviation
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.