Gulf Real Estate Properties
Gulf Real Estate Properties, Inc., is a real estate firm located in southwest Florida. The company, which advertises itself as “expert in the real estate market,” monitors condominium sales by collecting data on location, list price, sale price, and number of days it takes to sell each unit. Each condominium is classified as Gulf View if it is located directly on the Gulf of Mexico or No Gulf View if it is located on the bay or a golf course, near but not on the Gulf. Sample data from the Multiple Listing Service in Naples, Florida, provided recent sales data for 40 Gulf View condominiums and 18 No Gulf View condominiums. Prices are in thousands of dollars.
Those analyses are below:
Descriptive Statistics
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These represent the range of the sale price. Lastly, I used the formula to get the standard deviation 48,945.28, which measures the variability.
To calculate the mean I added up the sum of days to sell and divided by 18. The mean is 203,188.89, which mean the average of the listed price. The median was calculated by listing the numbers in numerical order from lowest to highest and located the number in the middle of 203,500. The median represents the middle number of the days that it took to sell the condominiums. After calculating the median I located the minimum and maximum based the lowest and highest data, which are 135,500 and 292,500. These represent the range of the sale price. Lastly, I used the formula to get the standard deviation of 43,891.72, which measures the variability.
Based on the chart, the mean was calculated by adding up the sum of the list and divide 18, which the number of the total listed prices. The mean is 135,000, which mean the average of the listed price. Secondly, the median was calculated by listing the number in numerical order from lowest to highest and located the number in the middle 126,000. The median represents the middle number of the listed price. After calculating the median I located the minimum and maximum based the lowest and highest data, which are 48,000 and 338,000. These represent the range of the listed price. Lastly, I used the formula to get the
Theoretically from the recorded data the calculated mean, median, and mode will be the most accurate representation of the real world value. The difference between the highest recorded value and lowest recorded value is the range in the set of data. Standard deviation (s) is a quantity calculated to indicate an extend of deviation for a group of data as a whole (Marshall). This is calculated using:
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
12. For the following scores, find the mean, median, sum of squared deviations, variance, and standard deviation:
6. When do the mean and median have the same value? 7. Describe the relationship between variance and standard deviation.
The most appropriate measure for this data set would be mean as it involves all the numbers combined.
Based on the given sample of student test scores of 50, 60, 74, 83, 83, 90, 90, 92, and 95 after rearranging them from least to greatest. As the mean is based on the average of sum, the average of this sample is 79.67 or 80. The mode refers to numbers that appear the most in a sequence and in this case 83 and 90 both appear twice. Range calculates the difference between the largest and smallest number, which are 95 and 50 which have a difference of 45. The variance is the difference between the sum of squares divided by the sample size, which is the number in the sample minus one (Hansen & Myers, 2012), meaning it takes each number of the set and subtracts
Indicating the individual number 65 gives a 5 point range to the mean. It seems the median is the most accurate way to discribe the data set, as it uneffected by the outlier value.
5. For the following set of scores, compute the range, the unbiased and the biased standard deviations, and the variance. Do the exercise by hand.
With the 95% Confidence Interval for Mean, Median, and St Dev are as described above.
* 7. The mean (Median) is a measure of location (central tendency) of a distribution while the SD is a measure of scale (variability) of its scores. Both mean and SD are measure of descriptive statistics.
The sales data were obtained for a new oceanside condominium complex consisting of two adjacent and connected eight-floor buildings. The complex contains over 200 units of equal size (approximately 500 square feet each). The
Sales data were drawn from a new Oceanside condominium complex consisting of two adjacent and connected eight floor buildings. The 200 units in the complex are approximately 500 square feet each.
Of the three independent variables, the first variable is law enforcement. The law enforcement variable has a minimum range of $0.00 and a maximum range of $83,057.14. Its mean average is 907.27 and its standard deviation is 6298.88. The second independent variable is the fire control variable and it has a minimum range of $0.00 and a maximum range of $2,198.85. Its mean average is equal to 112.56 and its standard deviation is equal to 195.65. The final independent variable is the parks and recreation variable and it has minimum range of $0.00 and a maximum range is $1,054.45. Its mean average is equal to 86.38 and its standard deviation is equal to 119.98.
CBPRO is a leading real estate company in Virginia, an independent franchisor of the Coldwell banker brand since 2001. CBPRO’s business focuses on residential real estate services such as selling, buying, and leasing houses; has 299 agents in 13 offices. The residential real estate industry is influenced by the ups and downs of the economy. In good times it fuels consumers confidence and spending, and in bad times consumers are cautious and not willing to invest in a house etc. CBPRO had a breaking sale of 2,848 percent in the first three years of services and during the plummet in the economy, sales flattened down to 2.5 percent, as was the case with the industry in general. (Coldwell Banker – Virginia Beach, Page 279). Due to high competition in the residential real estate industry (especially locally), coupled with fluctuating national economic conditions, and narrowly defined target customers, CBPRO faced several distinctive challenges; residential and clients lists were important to CBPRO business and to its competitors, especially the local competitors.