This study material covers topics such as frequency tables, graphical representation of variables, critical path analysis, moving average method, tree diagrams and linear programming. It is relevant for courses related to data management and information systems.
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Table of Contents TASK 1............................................................................................................................................3 1. Label the codes for categories.................................................................................................3 2. Frequency and % frequency tables through pivot tables.........................................................3 3. Graphical representation of variables......................................................................................4 4. Descriptive statistic..................................................................................................................6 TASK 2............................................................................................................................................6 1. Network diagram.....................................................................................................................6 2. Describing the critical path from gantt chart...........................................................................7 3.Presenting critical and non-critical path...................................................................................7 TASK 3............................................................................................................................................8 1. Line graph................................................................................................................................8 2. Presenting the moving average method...................................................................................9 3. Centre moving average method...............................................................................................9 4. Presenting data related to original sales and trend of sales...................................................10 TASK 4..........................................................................................................................................10 Presenting tree diagram relating to probabilities of being selected a sales person....................10 TASK 5..........................................................................................................................................12 Using linear programming solving the problems......................................................................12
TASK 1 1. Label the codes for categories CustomerGenderAgeEducationSSC user 1Male35 to 47A' level or diploma Yes 2Female61 and overDegree or furtherNo 3Female35 to 47GCSE or belowYes 4Female61 and overGCSE or belowNo 5Female48 to 60Degree or furtherNo 2. Frequency and % frequency tables through pivot tables Gender ParticularsFrequency % frequenc y Male2040% Female3060% Grand Total50100% Education ParticularsFrequency % frequency GCSE or below2040% A’ Level or Diploma1632% Degree or further1428% Grand Total50100%
Age ParticularsFrequency % frequency Less than 2124% 21 to 34510% 35 to 471020% 48 to 602652% 61 and over714% Grand Total50100% SCC user ParticularsFrequency % frequenc y Yes1734% No3366% Grand Total50100% Spending ParticularsFrequency % frequency <100110% 100-109612% 110-1192346% 120-1291836% 130-14024% >14000% Grand Total50100% 3. Graphical representation of variables Education
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20 16 14 Educati on GCSE or belowA’ Level or DiplomaDegree or further Age Less than 21 21 to 34 35 to 47 48 to 60 61 and over 051015202530 2 5 10 26 7 Age Spending
4. Presenting data related to original sales and trend of sales TASK 4 Presenting tree diagram relating to probabilities of being selected a sales person Let A= Toni and B = Joe There are different probabilities of selecting a sales person which are as mentioned below: The probability of Toni to select a salesperson = P(A) = 0.5 The probability of Joe to select a salesperson = P(B) = 0.5 The probability of salesperson chosen by both =P (A and B) = 0, it is so because only one manager work in a day By applying the formula of probability = P (A or B) = P A) + P (B) – P (A and B)
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Salesperson ToniJoe P(S) ) P(NS) ) P(S) )) P(NS) 06*05 days = 0.3 05*0.6 days = 0.3 04*0.4 days = 0. 16 0.4*0.6 days = 0.24 0.50.40.40.6
0.3 + 0.16 = 0.46 which means that probability of selecting a salesperson is 46% 0.3 + 0.24 = 0.54, it means that the possibility of not selecting the salesperson is 54% (0.3 + 0.3 + 0.16 + 0.24 =1) As per the above tree diagram, it has been identified that Toni worked for 6 days whereas Joe worked for 4 days. In the above P(S) denoted as probability of selection whereasP (NS) used for not selecting a candidate. As per the result generated, it has been identified that probability of not selecting a salesperson is higher as compared to selection. TASK 5 Using linear programming solving the problems Decision variables Objective functions LHS constrains BrieGoude Total Profit Production quantity120 Unit profits4.5354 Constrain ts Production Requirements per UnitUsed Availabl e Milk1.81.221.6120 Salt10015012001200 Solver Options Max Time Unlimited, Iterations Unlimited, Precision 0.000001 Max Subproblems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%,
Assume NonNegative Objective Cell (Max) CellName Original Value Final Value $E$4 Unit profits Total Profit5454 Variable Cells CellName Original Value Final ValueInteger $C$3Production quantity Brie1212Contin $D$3 Production quantity Goude00Contin Constraints CellName Cell ValueFormulaStatusSlack $E$7 Milk Used21.6$E$7<=$F$7 Not Binding98.4 $E$8 Salt Used1200$E$8<=$F$8Binding0