If they want to cut this by a factor of three to get it down to $4000, they need to multiply the sample size by 3^2=9, and get a sample size of 25×9= 225. Here is how we can calculate it more directly. We want ME = 4000, and we know ME = 2×SE. Therefore, SE = ME/2 =2000, and also, SE = SD/Square root of sample size. So, 2000 = 30000/Square root of sample size.
Multiple Regression Project July 6, 2012 Introduction This project is intended to help make the best decision while choosing a location for a new Pam and Susan’s store. The main goal is to help identify the most profitable location out of two proposed store sites – Site A and Site B. We will be creating a multiple regression equation to forecast/predict potential sales (Y) at both Site A and Site B while using both quantitative census information and company provided store metrics as well as qualitative competitive type data as predictor variables X. As a result, we will recommend to Pam and Susan's stores which site they should choose for a new store, i.e., which site is expected
On average, $179 million and $27 million were assigned to both competitive and non-competitive bidders respectively. The ratio of the quantity-weighted average resale price to the quantity-weighted average price of winning competitive bids average 1.000171 across auctions using a basis point of 1.71 with the t- statistics of 7.81, he thus, observed that the figure is highly significantly statistical. Observing this table above, out of the 207 auctions in the sampling period, average bidders submitted 94.2 competitive bids with a wide variation between the maximum and minimum sample wide of 184 and 19 respectively. For, the competitive bidders it average 24.7 ranging between 40 and 13. The number of winning competitive bids average 39.9, but varied widely between the minimum of 2 and the maximum of 157.
Rochelle decided to compare two plants for 50 days, Memphis plant-which will have the vector drive and Birmingham plant-which will use the existing system and prepare a report. The financial analysts believe that the purchase can be justified if the equipment leads to the average increase in production of atleast 10,000 bricks per day. Since we have to check whether the difference between the mean value of the bricks per day at Memphis plant and Birmingham plant is greater than 10000(for purchase to be justified), we will use hypothesis testing for means and compare the sampling distribution of the mean value of bricks produced in a day. This method is the typical method to solve these kind of problems. Data available is Plant Total Bricks produced in 50 days S (standard deviation) x̄ (mean) Memphis 7484500 3402.46 149690 Birmingham 6902350 3364.68 138047 Hypothesis test In a hypothesis test we assume Ho to be true and try to find evidence that shows otherwise.
AJ Davis Department Store Project Part A Roshanda Walker AJ Davis Department Store Project Part A Roshanda Walker Keller Graduate School of Management Math 533- Applied Managerial Statistics Keller Graduate School of Management Math 533- Applied Managerial Statistics Introduction This report provides statistically analysis using graphs and charts that shows how the income, credit balance, location and years are used as variables to determine the trends of credit card customers of the AJ Davis department store. The variables are broken down into comparable paring to determine trends as well as individual variables are analysis. The variables analyzed are Income, Credit Balances and Years customers have lived in their current locations. The comparable paring that are analysis are Location and Income, Location and Years and Income and Credit Balances. Income Descriptive Statistics: Income ($1,000) The data provided for the Income variable on AJ Davis department store credit card customers shows us that the minimum income level is $25,000 with Q1 of 33.00 and the maximum is $74,000 with Q3 of 57.25.
In order to achieve her marketing objective, she has to allocate communication budget in such a way that it would result in 10% increase in profit over 2007 estimates. Marketing Mix Strategies: RBS had high distribution penetration. Maximum distribution was of 1 lb box. There was a 150 person sales team to manage retail and wholesale accounts. Sales-force was incentivized by a quota system with quarterly volume quotas.
See Excel Sheet b. Which types of analytical procedures did you use to determine the estimate? c. Suppose that you find that the interest expense account shows expense of $23,650 related to these notes. What could account for this difference? d. Suppose that you find that the interest expense account shows expense of $24,400 related to these notes.
Probabilities of these events are estimated to be .6 and .4 respectively. With a high response, gross revenues of $2 million are expected; with a low response, the figure is $450,000. If it starts with on North American test market, it might find a low response or a high response with probabilities .3 and .7, respectively. This may or may not reflect the global market potential. In any case, after conducting the market research, PLE next needs to decide whether to keep the sales only in North America, market globally, or drop the product.
Direct sales force and 2.A combination of wholesale dealers and company sales force. Baxton has a market share of 2.1% (exhibit 1) by volumes and 6% (exhibit 1) by sales in comparison to the total hoists manufactured in the USA. The distribution system present reflected the need to engage in the intensive personal selling since only 25% of sales was through company sales force. EVALUATION OF ALTERNATIVE COURSES OF ACTION a) Establishing a Sales Office: It will not only take advantage of the existing sales expertise but also allow Baxton to get first hand market information and enhance its distribution expertise. Direct Sales Efforts may lead to channel conflict with current US Wholesaler.
The difference could simply have arisen because of a data entry typo – don’t panic or go yelling and the wrong people for the wrong things! Begin by making sure what you are looking at is accurate. In all other cases a Budget Variance is the result of either: * A price that was different from