Overview I This paper will evaluate a sample of 50 AJ DAVIS department store chain credit customers using statistical analysis. Four quantitative methods: household size, income, years and credit balance along with one qualitative method: location will be used. Individual Variables II Location is a categorical variable and it consists of three (3) subcategories: Rural, Suburban and Urban. The below frequency distribution and bar graft indicates that the highest member of AJ DAVIS department store chain consumes resides in urban areas accounting for 44% of the sample, the second highest member of AJ DAVIS department store chain consumes resides in Suburban areas and accounts for 30% of the sample while the smallest number
Based on the statistical analysis, we can support the claim that the average (mean) annual income was less than $50,000. We cannot support the claim that the true population proportion of customers who live in an urban area exceeds 40%, the average number of years lived in the current home is less than 13 years and the average credit balance for suburban customers is more than $4,300. a. the average (mean) annual income was less than $50,000, | INCOME($1000) | count | 50 | mean | 43.48 | sample standard deviation | 14.55 | Ho: µ =50000 Ha: µ<50000 The test statistic is Z=(xbar-µ)/(s/√n) =(43480-50000)/(14550.7/√50) =-3.17 The p-value= P(Z<-3.17)= 0.0008 (from standard normal table). Since the p-value is less than 0.05, we reject Ho. So we can conclude that the average (mean) annual income was less than $50,000.
Answer: $235,000 6. Corporation P owns 85 percent of Corporation S1; Corporation S1 owns 60 percent of Corporation S2; Corporation S2 owns 90 percent of S3; Corporation S3 owns 60 percent of Corporation S4 and 15 percent of Corporation S2; Corporation S4 owns 100 percent of Corporation S5. Identify the consolidated group of corporations. Answer: P, S1, S2, S3, S4, S5 7. Corporation P files a consolidated return with Corporation S. In preparing a consolidated return, their accountant finds the following: Separate taxable income (loss) P= $500,000 S= ($200,000) Capital gain (loss)
This show that half of it are in area other than urban, 2. INCOME (in $1,000's) Descriptive Statistics: Income ($1000) credit customers Variable Mean SE Mean StDev Sum Minimum Q1 Median Q3 Urban income 44.33 3.17 14.53 931.00 21.00 31.50 42.00 55.00 Rural income 34.71 2.25 8.41 486.00 22.00 29.25 32.00 42.50 Suburban income 50.80 3.97 15.36 762.00 22.00 39.00 54.00 63.00 N for Variable Maximum Mode Mode Urban income 67.00 21, 42, 55 2 Rural income 50.00 30 3 Suburban income 67.00 54, 63, 66 2 With the data provided we can see that the highest
To forecast 2010 sales based on 2009 sales, Equation 1 must be used: St = $500,000 + $1.10St–1 S2010 = $500,000 + $1.10($1,500,000) = $2,150,000 3. Equation 2 requires a forecast of gross domestic product. Equation 3 uses the actual gross domestic product for the past year and, therefore, is observable. 4. Advantages: Using the highest R2, the lowest
Yuchen Zhou Part I. Preliminary Decile Analysis (classify customers into 10 equal groups) 1. What percent of customers bought anything from the last catalog? 2.5% Bought from last catalog | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | no | 94180 | 97.5 | 97.5 | 97.5 | | yes | 2371 | 2.5 | 2.5 | 100.0 | | Total | 96551 | 100.0 | 100.0 | | 2. What was the average $ order size bought from the last catalog across all 96,551 customers?
The values in Table 2 are the weights of the risk-free asset and the risky assets in the optimal combined portfolio for a given holding period and risk-aversion level. The table also shows the expected return and standard deviation about that return for each portfolio. The third row of results shows that for a one-year holding period and a “middle level” of risk aversion, the optimal allocation is 82.2% in the risk-free, 10.4% in T-Bonds, 4.5% in World Bonds, 1.7% in Large Stocks and 1.2% in Small Stocks. This portfolio’s expected return is 1.42% and its standard deviation is 1.43%. Similarly the seventh row of results shows that for a five-year holding period and a “middle level” of risk aversion, the optimal allocation is 40.2% in the risk-free, 41.4% in T-Bonds, 3.2% in World Bonds, 9.0% in Large Stocks and 6.3% in Small Stocks.
25 customers have balances above 4,253 and 25 customers have balances below 4,253. Min 2,047 Q1 3,281 Mean 4,119 Median 4,253 Q3 4,907 Max 5,756 Location and Credit Card Balance Looking at the variable location you can see that the urban area has the biggest credit card balance, the suburban location has the highest minimum balance as well as highest median and highest maximum
Current treasury bills return is close to arithmetic mean. Group participants offer 3 possible combinations of assets: 1) Micron (greatest expected return potential, large risk), 2) Boise Cascade and New York Times (the largest Sharpe ratio), 3) Mylan Labs and Placer Dome (two assets with the largest alpha). Besides, current portfolio allocate only 17,8% into risk-free bonds. Thus, portfolio holders are relatively risk tolerant. List relevant quantitative data: evidence related to or based on the amount or number of something.
| Cost | Machine Hours | April | $61,255 | 1,189 | May | $82,714 | 1,806 | June | $97,496 | 2,474 | Using the high-low method, determine the variable cost per unit, and the total fixed costs. Select the correct answer. $28.20 per unit and $69,775 respectively. | | | $28.20 per unit and $27,721 respectively. | | | $30.45 per unit and $27,721 respectively.