Statistics Project a

The department store of AJ Davis is attempting to find out more cultivation about their realisation clients. They go through graphern a take in of 50 deferred payment nodes using several different variables. The reading collected for several of those variables and the relationship between variables have been understand with detailed statistical analysis to summarize the pertinent customer information. The first variable interpreted is fix, which is categorical. AJ Davis listed customer location in three subcategories: urban, suburban, and rural. By using a pie chart and frequence table, we are able to see that the majority of AJ Daviss credit customers, 44%, are located in the urban orbit. The beside intimately populous subject field, by 30%, is the suburban area and the rural area contains 26% of AJ Daviss credit customers. twin for discrete varyings: Location Location Percent 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 of it, a three-figure variable. To give way understand the size of a butt for AJ Daviss credit customers we used a table of descriptive statistics, frequency table, and a debar chart. Descriptive Statistics: surface shifting involve SE Mean StDev Variance Minimum Q1 median(a) Q3 Size 3.420 0.246 1.739 3.024 1.000 2.000 3.000 5.000 N for Variable Maximum expressive style Mode Size 7.

000 2 15 Tally for Discrete Variables: Size Size Coun t 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, household size of the credit customer is 3.42. The median, or middle, household size is 3. on that point is a step deviation of 1.739. As can be seen in the bar chart and the frequency table, the mode, or most frequent 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, tack it on our website: BestEssayCheap.com

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