quantitative tool in business

More documents

Recommendations

Info

MAY 2012 QUANTITATIVE TOOLS IN BUSINESS SOLUTION 2(ii)Cumulative Frequency Distribution TableLess than9.5-14.519.524.529.534.539.544.549.554.559.564.5Σf01381422313843464950Frequency TableFields- 14- 19- 24- 29- 34- 39- 445– 492– 545 – 592 - 64Frequency(f)Mid- point(x)___ fx x 2 fx 21121214414421734289578522110484 2420627162729 4374832256 1024 8192937333 1369 12 321742294 1764 12 348547235 2209 11 045352156 2704 8 112357171 3249 9 747162623844 3 844Σf50 Σfx1825 Σfx 2 73,125Mean (x) = Σfx = 1825 = 36.5 kgΣf 50____________Std deviation = √ Σfx 2 - Σfx2Σf Σf________________= √ 73125 - 1825250 50_______________ ______= √ 1462.5 - 1332.25 = √ 130.25σ= 11.41 kgPage 10 of 12
MAY 2012 QUANTITATIVE TOOLS IN BUSINESS SOLUTION 2From abovemean = 36.5 kg andσ = 11.41 kgInterval within one std deviation of mean= [25.09, 47.91]on the chart, ((41 – 63) = 35) 35 trees…. Within x + σ, which is 3552 = 70%SOLUTION 7(a)Let L = {worker comes late}M = {worker is male}P(L/M) = 0.08P(M) = 150 = 0.30500Pr (A male late comer) = P(L∩M)= P(M) P(L/M)= 0.30 x 0.08= 0.24(b)Quarterly Production Levels Matrix:P =Q1 Q2 Q3 Q44000 4500 4500 40002000 2600 2400 22005800 6200 6000 6000ABC(c)Unit Production Costs Matrix:C =A B C100 300 150300 400 250100 200 150Raw materialsLabouroverheadsPage 11 of 12
Page 4: MAY 2012 QUANTITATIVE TOOLS IN BUSI
Page 8 and 9: MAY 2012 QUANTITATIVE TOOLS IN BUSI
Page 12: MAY 2012 QUANTITATIVE TOOLS IN BUSI

quantitative tool in business

Create successful ePaper yourself

Delete template?

Save as template?