QNT 351 WEEK 2 Descriptive
Statistics – Real Estate Data Part 1
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QNT 351 WEEK 2 Descriptive Statistics –
Real Estate Data Part 1
Select a hometown of someone on your team in
the search section on the website you have chosen. When all of the listings
populate, make sure that the sort criteria reads “New Listings.” This ensures
that you are searching a random cross-section of listings rather than favoring
one price range.
Review the new listings that populate.
Create an Excel spreadsheet with 4 columns
of the first 100 single family homes listed, not including condominiums or
townhouses.
Include each of the following categories in the
spreadsheet: Property address, listing price, square footage, and number of
bedrooms.
Prepare a frequency distribution for listing
prices, including relative frequencies.
Create your frequency distribution as
identified in Chapters 2, 3, and 4.
Generate a histogram from your frequency
distribution, again making sure you are consistent with the rules discussed in
Chapter 2.
Summarize your findings from your frequency
distribution and your histogram.
Create either a pie chart or a bar graph of
the number of bedrooms in your 100 homes.
Evaluate your visual aid.
Calculate measures of central tendency for both
listing prices and square footages. Those measures are mean, median, and mode.
Determine the quartiles for both listing prices
and square footages.
Calculate measures of dispersion for both listing
prices and square footages. Those measures are range, variance, and standard
deviation.
Apply Chebyshev’s Theorem and the Empirical
Rule to both sets of data.
Compare your findings with your actual data.
Conclude whether Chebyshev’s or Empirical Rule
is more accurate with each of listing prices and square footages.
Format your assignment consistent with APA
guidelines.
Click the Assignment Files tab to submit your
assignment.
QNT 351 WEEK 2 Descriptive Statistics – Real Estate Data Part 1
QNT 351 WEEK 2 Descriptive Statistics – Real Estate Data Part 1
QNT 351
WEEK 2 Descriptive Statistics – Real Estate Data Part 1
QNT
351 WEEK 2 Descriptive Statistics – Real Estate Data Part 1
Select a hometown of someone on your team in
the search section on the website you have chosen. When all of the listings
populate, make sure that the sort criteria reads “New Listings.” This ensures
that you are searching a random cross-section of listings rather than favoring
one price range.
Review the new listings that populate.
Create an Excel spreadsheet with 4
columns of the first 100 single family homes listed, not including condominiums
or townhouses.
Include each of the following categories in the
spreadsheet: Property address, listing price, square footage, and number of
bedrooms.
Prepare a frequency distribution for listing prices,
including relative frequencies.
Create your frequency distribution as
identified in Chapters 2, 3, and 4.
Generate a histogram from your frequency
distribution, again making sure you are consistent with the rules discussed in
Chapter 2.
Summarize your findings from your frequency
distribution and your histogram.
Create either a pie chart or a bar graph of
the number of bedrooms in your 100 homes.
Evaluate your visual aid.
Calculate measures of central tendency for both
listing prices and square footages. Those measures are mean, median, and mode.
Determine the quartiles for both listing prices
and square footages.
Calculate measures of dispersion for both listing
prices and square footages. Those measures are range, variance, and standard
deviation.
Apply Chebyshev’s Theorem and the Empirical
Rule to both sets of data.
Compare your findings with your actual data.
Conclude whether Chebyshev’s or Empirical Rule
is more accurate with each of listing prices and square footages.
Format your assignment consistent with APA
guidelines.
Click the Assignment Files tab to submit your
assignment.
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