Statistics Project a

The department store of AJ Davis is attempting to find out more instruction about their realisation clients. They baffle ingestn 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 tending(p) customer information. The first variable interpreted is lieu, which is categorical. AJ Davis listed customer location in three subcategories: urban, suburban, and rural. By using a pie graph 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 most populous nation, by 30%, is the suburban area and the rural area contains 26% of AJ Daviss credit customers. concern for discrete varyings: Location Location Percent CumPct Rural 26.00 26.00 suburban 30.00 56.00 urban 44.00 1 00.00 The next variable that is looked at is surface, a valued variable. To give way understand the size of a bottom for AJ Daviss credit customers we used a table of descriptive statistics, frequency table, and a debar chart. Descriptive Statistics: size protean 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 temper Mode Size 7.

000 2 15 Tally for Discrete Variables: Size Size Count 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. in that location 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, pitch it on our website: OrderCustomPaper.com

If you want to get a full essay, visit our page: write my paper