Student GM533 Applied Managerial Statistics Keller Grad School Professor Peixin Zhang Term Project For this project various statistical tools will be used to analyze our case 27 data sheet. Price is the dependent variable and there are a number of independent variables including square feet, beds, baths, heat, garage, basement etc. that is used to explore and model the relationship between these variables. Central Tendency and Dispersion Here statistical tools are used to measure the central tendency and dispersion to make the data in the survey more meaningful and easier to understand. The Median Home Price: Here the aim is to determine the median price of the houses based on Price.
Four of the homes sold for $400,000 while the fifth home sold for $2.5 million. Which measure of central tendency best represents a typical home price in Oxnard Acres? • The mean or mode. • The midrange or mean. • The median or mode.
How would you describe the differences? What is the general condition? Any signs of despair? The age of housing in this community ranges from 1950s to 2000s the homes range from 2,500 square feet to 4,000 square feet. The older homes are all in the same area of the community called lower ladera and the newer homes are located in the newly formed upper ladera.
13). The ‘average length of stay is shorter’ metric is consistent with the 2001 data mentioned above. Consider now the “members spend 25% more on a per-stay basis than nonmembers” fact. Based on the 2001 ByRequest Member versus Nonmember Comparisons table in Exhibit 12, one can calculate the average daily revenue per occupied nights (total revenue produced divided by total nights – Appendix 1). On average, members spent $114 while non-members spent $96.
B. 1st Individual Variable The hospital stay has a mean of 5.025 days. This means that the average stay of all the people was 5 days. The median is 5.5 days. The median is the middle value when data is in order of largest to smallest.
However the Asian or Asian British population is nearly 3 times bigger with 18.4% of all people in that area falling into that category. However the Black and Black community is nearly 5 times smaller than in Canning Town accounting for just 5.5%. As of 2001 Canning Town had above average levels of
The chart below represents the scale factor for each division in price. Initial Cost |SCALE |1 |2 |3 |4 |5 |TOTAL | |Generic |$20 + |$15-20 |$10-15 |$5-10 |$0-5 |4($10.00sq. ft.)| |Composite Marble| | | | | | | |Tile | | | | | | | |Generic Wool |$20 + |$15-20 |$10-15 |$5-10 |$0-5 |3($15.00 sq.ft. )| |Carpet Tile | | | | | | |
Course Project Part A | By Monisha Crawford Math 553 Joni Bynum November 9, 2014 | Course Project Part A Income The range of the incomes of the 50 sampled AJ Davis customers are between 25,000 and 74,000 with an average income of 45,550 with a standard deviation of 13,620. Min 25.00 Q1 33.00 Mean 45.55 Median 44.00 Q3 57.00 Max 74.00 Stem and Leaf Plot 2 55679 3 000223334 3 5568 4 0022334 4 556779 5 3444 5 7778 6 01124 6 568 7 14 Household The range of the amount of people per household is between one and eight with the average household size being 4.429. Based on 50 households 25 has a household size below four and 25 has a household size above four.
• The public courses delivered a gross margin of $277 in 1985, greater than the Special Programs gross margin of $230 for the same year. Over the past four years, the Public Courses gross margin has averaged $741 (($1,563+$2,013+$2,445+$2,672)-($1,442+$1,851+$2,264+$2,395) while the Special Programs have averaged a gross margin of $539
Real Estate Research Celeste Kivalu, Dana Campbell, Rina Macapagal, Edward Charfauros, and Kodi Womak RES/341 February 22, 2011 Dr. Michael Smith Real Estate Research Purpose of the Research The purpose of a real estate research is to provide credible research, value-added information, education services, and project-oriented research to real estate licensees, real estate consumers, real estate service providers, institutional customers, public agencies, and communities (State Legislature, 2010). There are 105 homes sold in different locations, different styles, different sizes, and different number of bedrooms, and at different prices. This research will analyze the data collection of the homes sold to determine the reason why homes