PART A- Exploratory Data Analysis Introduction & Overview AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis. 1. Location: a. Urban b. Suburban c. Rural 2. Income 3. Household Size (number of people living in the household) 4. Years (the number of years that the customer has lived in the current location) 5. Credit Balance (the customer’s current credit card balance on the store's credit card) Individual Variables Five individual variables were provided for review: Location, Income, Household Size, …show more content…
It does not appear to be a correlation between an increase in household size and an increase in credit balance. Income and Credit Balance A scatter plot diagram provides a graphical observation of how two different variables are related to one another. Looking at the data collected for credit balance of customers along with the data collected for income of customers, it’s easy to recognize that there is a correlation between the two variables. The linear positive slope indicates that an increase in the credit balance correlates with an increase in income. Conclusion: In analyzing all of the department store data several conclusions can be made. The customers that carry credit with AJ Davis Department Stores average $4153. The higher the customer’s income the higher credit balance they tend to afford with the department store. Forty four percent of the customer base resides in rural areas. There were not any specific trends identified in relation to household size and department store credit. Customers residing in urban areas occupy the majority of the department store’s credit. In analyzing the income it is safe to say that AJ Davis Department Store customers are middle class citizens. PART B- Hypothesis Testing and Confidence Intervals A.) The average (mean) annual income was above the $45,000 value that was
Real household disposable income has reflected a downward trend from 2009 to 2013 and household saving did not decrease during 2012, which reduced the level of cash flow meaning store sales will be affected by a decreased level of income remaining for shopping after spending on daily necessities. In addition to this, switching costs remain low for customer changing their preferences because of the diversity of options like Myer, K-Mart or the brand retailer like ZARA and Gucci.
The industry we have chosen is the department store-retail industry. Within this industry, we have chosen the department stores of JCPenney and Macy’s. We find this industry, as well as these two companies, interesting from a strategic perspective. JCPenney has recently undergone a massive strategic restructuring in regards to its pricing, brand offerings, and store layout, pushing it away from the typical department store strategy of discounts and coupons. Its new strategy has become much closer to Wal-Mart’s strategy of every day low prices. Macy’s, on the other hand, has restructured with a push from the economic
7. The data set for this problem can be found through the Pearson Materials in the Student Textbook Resource Access link,
Lowe’s is the 14th largest retailer in the United States and is presently planning aggressive expansion, opening a new store on average every three days. Lowe's revenue growth is primarily a function of penetration of the market increase resulting from a burst of new locations instead of the same store sales. Although Lowe’s has grown tremendously, it remains half the size of Home Depot and has serious debt burden that increases its risk level drastically. Lowe’s is Home Depot’s largest competitor because both companies have the same products, services, and enormous warehouse formats. In this major retail market Lowe’s and Home Depot stores go toe
A sample was taken on January 26, 2016 using a random sampling procedure. The length and
This report presents data describing the differences amongst the two department stores, their fundamental visions, and comparative statistics. Macy’s or Dillard’s: Differences amongst these competitors There are several aspects you can analyze from each department store. Major pieces do set each one apart from the other. Brand names carried by Macy’s and Dillard’s from an average shoppers point of view can go completely unnoticed unless price is involved. For trend shoppers brand names can either make or break a retail store. It can easily determine if he or she will walk to Macy’s or Dillard’s because they already know the store does or does not carry that brand. This is consistent with each department throughout both stores and
The companies that were chosen for a company analysis include Macy’s, Kohl’s, and Burlington. Since the retail industry has been lagging behind lately, these companies will help determine the prospective financial investment in the retail industry. As Macy’s as our primary company, we chose Kohl’s and Burlington to be the two comparative companies. These companies are comparable due to the same SIC code of 5311 in the subgroup of department stores. These companies offer similar products and services with little differentiation between the three.
Department stores are not easy to manage, and take a whole team of individuals to run daily operations smoothly. Dillard’s success at the turn of the century came from balancing finances properly, incorporating a friendly atmosphere, and building its reputation as a welcoming upscale department store. In recent years, however, Dillard’s Inc. has surfaced in headlines for being listed as one of the worst companies in the nation to work for. With stiff competition and acquisition factors, the department store industry is not one to lag behind in and
In this segment, the retailer J.C. Penney will be analyzed against the department store retail industry, with particular emphasis placed upon their competitors, Macy’s and Kohl’s. The major components to be discussed will include the general external environment (i.e. demographics, economics, politics, legal requirements, technologies and global expansion), the industry environment, the competitive environment, the driving forces and the key factors for success within the industry. In terms of the general external environment, the retail industry is a multi-trillion dollar business in the United States alone and maintains operations primarily due to consumer spending. Such purchases rely upon the disposable income of
As one of the major retailers in the United States, JCPenney has 1,104 department stores in 49 states and Puerto Rico as of February 2, 2013. The key success of its business is tremendously depending on the sales performance. However, the retail business is highly competitive, with low barriers to entry and low profit margin. Due to large sales plunge in 2012, the company is in financial trouble. The thorough analysis of JCPenney’s financial statements is vital to judge the future performance of its business.
The two variables with the highest correlation of .75 are home size to credit amount. This indicates that homes with more people are building up more credit at this department store. This could be caused by a combination of higher household expenses and less discretionary income. Smaller households may be able to keep their debt low even if they are making large purchases.
A list of questions and responses that the students had pertaining Kmart is attached in Appendix A. When asked about particular items that the students were interested in purchasing at a store, some of the responses were: food, clothes, school supplies, household products, and entertainment merchandise. If Kmart offered wider range of these items at relatively low prices more students would be interested in shopping there. According to the survey, specials that persuaded 4 out of the 12 students to shop at Kmart were: sales on bathroom supplies, kitchen appliances, school materials, and pet food/toys. When asked how often the individuals went to Kmart the response was once or twice every couple of months. The number one reason that all twelve of the students ever stopped or considered stopping at Kmart was the convenient location.
In this chapter 4 and 5, it comprises the data analysis and information of this research. The all data and information collected through any interview, questionnaire and any observation that would be analyses to obtain the finding of this research. From the data collected, it would be analyzed the data using SPSS version. After that the data will be interpreted into graphs, tables for analyzed the data. Next step is defining the reason of the data result and lastly create a recommendation from the analyzed data.
In this experimental research, we selected four stores to represent four types of shopping environment. Then we randomly ask quantity of customers of exiters and enters them to fill in our questionnaire then we use the data collected to analyze through computer.
Pelican Stores, a division of National Clothing, is a chain of women's apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stares. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named Pelican Stores. Table 2.17 shows a portion of the data set. The Proprietary Card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use