The department store of AJ Davis is attempting to flummox out more attainment about their realisation clients. They return targetn a take in of 50 deferred stipend nodes using some(prenominal) contrasting vari fit quantitys. The reading collected for several of those variables and the relationship between variables choose been understand with detailed statistical analysis to summarize the relevant customer information. The first variable interpreted is localization of function, which is categorical. AJ Davis listed customer location in three subcategories: urban, suburban, and rural. By using a pie chart and frequence table, we ar able to see that the majority of AJ Daviss character customers, 44%, are located in the urban orbit. The beside most populous orbital cavity, by 30%, is the suburban area and the rural area contains 26% of AJ Daviss credit customers. rivalry for discrete varyings: Location Location percentage CumPct Rural 26.00 26.00 Suburban 30.00 56.00 urban 44.00 100.00 The next variable that is looked at is size, a quantitative variable. To let way understand the size of a base for AJ Daviss credit customers we used a table of descriptive statistics, absolute frequency table, and a debar chart. descriptive Statistics: Size Variable involve SE Mean StDev Variance stripped Q1 Median Q3 Size 3.420 0.246 1.739 3.024 1.000 2.000 3.000 5.000 N for Variable Maximum flair Mode Size 7.

000 2 15 sum up for Discrete Variables: Size Size turn over CumCnt 1 5 5 2 15 20 3 8 28 4 9 37 5 5 42 6 5 47 7 3 50 N= 50 This information tells us that the mean, or average, home size of the credit customer is 3.42. The median, or middle, household size is 3. There is a step deviation of 1.739. As can be seen in the bar chart and the frequency table, the mode, or most patronize occurring household size, is 2 with 15 out of the 50 households being this size. The third...If you call for to get a full essay, order it on our website:
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