Question

Belleville (kW) 3.7 9.1 11.1 6.4 2.8 6.2 4.5 4.7 7.2 4.1 5.1 4.6 5.1 2.7 3.1 Brockville (kW) 3.9 4.7 6.8 7.1 5.3 5.4 4.3 1.8 3.7 5.8 5.4 1.6 7.5 4.9 5.8 4.6 Solar Power in Ontario As a result of the Green Energy Act, Ontario has led the other Canadian provinces in solar power deployment. Many installers compete to mount solar modules on residen- tial roofs in all the major cities, but an underserved market is small communities One installer, based in Kingston, has found people in small commu more entrepreneurial than people in large cities and more willing to consider their house as a means of generating electric power and revenue, whereas people in cities nities to be regard it primarily as a home to live in. He tests out the market in the small communi- ties of Belleville and Brockville, and during the first year he installs projects producing the amount of power in kilowatts (kW) given in the file ch05_MCSP_Solar. Because of the travel time from his base in Kingston to these communities and because of returns to scale, the installer makes more profit on large projects than on small ones Write a report (including histograms and measures of centre and spread) compar- ing the two communities and recommending which one to focus on next year. (1.5 marks) Q2 Retail Sales. An online retailer is interested in representing some of its annual sales data in histograms (perhaps after transforming the data). If the following data (for different types of products) can be represented as a histogram, draw the histogram. If not, say why not. a) Product group A. 20% of the customers account for 75% of the sales. 20% of the customers account for 10% of the sales, 30% of the customers account for 10% of the sales, 30% of the customers account for 5% of the sales b) Product group B. 45% of the customers spend

Answer 1

SOLLUTION:-

Using Minitab softw are to draw the Histogram to the follow ing data Histogram of Belliville Descriptive Statistics: Belliviille Based on the Histogram All the data falls on right side of the curve. The data is follows positively skew ed distribution Descriptive Statistics: BelMiville Variable N N* Mean SE Mean StDev CoefVar Minimum Median 23 Maxim um Belliville 21 0 5.110 0.495 2.268 44.38 2.500 3.200 4.600 6.300 11.100 From the ouput Coefficient of variation for Bellivile cr,elirttle-44.38%

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