Student GM533 Applied Managerial Statistics Keller Grad School professor Peixin Zhang Term Project For this go for various statistical tools leave be use to break up our case 27 selective information sheet. impairment is the dependent protean and there are 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. of import 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 terms of the provides base on Price. In the lodging mart its strategic to know the median price of homes in a stress size. Using Minitab the adjacent results were obtained. Descriptive Statistics: expenditure covariant N N* cerebrate SE loaded StDev marginal Median uttermost 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 in like manner know that the average cost per house is $97,990. In the following computation two variables are used, Price and Fireplace.

Variable energize 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 reap 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 effective in determining the value of a house an owner intends to sell. Another important feature that is often considered in the caparison market is basement. Often houses with a basement cost more. From...If you go for to get a full essay, order it on our website:
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