Student GM533 Applied Managerial Statistics Keller Grad School prof Peixin Zhang Term Project For this go for various statistical tools pass on be apply to break up our case 27 data sheet. expense is the dependent protean and there argon a number of independent variables including unbowed feet, beds, baths, heat, garage, basement and so forth that is used to explore and model the kin between these variables. underlying Tendency and Dispersion Here statistical tools are used to measure the central tendency and dispersion to fixate the data in the survey more meaningful and easier to understand. The median(prenominal) Home Price: Here the aim is to determine the median price of the domiciliates base on Price. In the lodging mart its of import to know the median price of homes in a essay size. Using Minitab the by-line results were obtained. Descriptive Statistics: expenditure covariant N N* cerebrate SE loaded StDev borderline M edian supreme PRICE 108 0 97.99 2.54 26.43 59.00 92.47 195.00 As per the Minitab countings above the median price for the list of 108 houses in our survey is $92,470. From the computer science the cheapest house is priced at $59,000 whilst the most expensive house is $195,000. From the computation we too know that the average cost per house is $97,990. In the following computation two variables are used, Price and Fireplace.
Variable release N N* Mean SE Mean StDev Minimum Median Maximum PRICE 0 12 0 72.61 2.79 9.65 61.50 69.97 98.00 1 96 0 101.16 ! 2.67 26.16 59.00 95.85 195.00 From the minitab results above we can chance on that the average cost of a house without a fireside is $72,610 and is $28,550 cheaper than a house with fireplace. This information can be hard-hitting in determining the value of a house an possessor intends to sell. Another important feature that is often considered in the admit market is basement. Often houses with a basement cost more. From...If you proneness to get a full essay, order it on our website: BestEssayCheap.com
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