Nalpas inc., an apparel company, manufactures clothes for men, women, and children. it further divides its core customers on the basis of demographic variables such as income, ethnic background, and family life cycle. in this context, these demographic variables are examples of
a. positioning bases
b. segmentation bases
c. product classes
d. market positions

Theodore is researching computer programming he thinks that this career has a great employment outlook so he’d like to learn if it’s a career in which he would excel what to skills are important for him to have and becoming a successful computer programmer

The beach dude (bd) employs a legion of current and former surfers as salespeople who push its surfing-oriented products to various customers (usually retail outlets). this case describes bd's sales and collection process. each bd salesperson works with a specific group of customers throughout the year. in fact, they often surf with their customers to try out the latest surf gear. the bd salespeople act laid-back, but they work hard for their sales. each sale often involves hours of surfing with their customers while the customers sample all the latest surf wear. because bd makes the best surfing products, the customers look forward to the visits from the bd salespeople. and they often buy a lot of gear. each sale is identified by a unique invoice number and usually involves many different products. customers pay for each sale in full within 30 days, but they can combine payments for multiple sales. bd manages its clothing inventory by item (e.g., xl bd surfer logo t-shirts), identified by product number, but it also classifies the items by clothing line (the lines are differentiated by price points as well as the intended use of the clothing, e.g., surfing products, casual wear, . draw a uml class diagram that describes the beach dudes sales and collection process.b. using microsoft access, implement a relational database from your uml class diagram. identify at least three fields per table.c. describe how you would use the relational database to determine the beach dude’s accounts receivable.

During january 2018, the following transactions occur: january 1 purchase equipment for $20,600. the company estimates a residual value of $2,600 and a five-year service life. january 4 pay cash on accounts payable, $10,600. january 8 purchase additional inventory on account, $93,900. january 15 receive cash on accounts receivable, $23,100 january 19 pay cash for salaries, $30,900. january 28 pay cash for january utilities, $17,600. january 30 firework sales for january total $231,000. all of these sales are on account. the cost of the units sold is $120,500. the following information is available on january 31, 2018. depreciation on the equipment for the month of january is calculated using the straight-line method. the company estimates future uncollectible accounts. at the end of january, considering the total ending balance of the accounts receivable account as shown on the general ledger tab, $4,100 is now past due (older than 90 days), while the remainder of the balance is current (less than 90 days old). the company estimates that 50% of the past due balance will be uncollectible and only 3% of the current balance will become uncollectible. record the estimated bad debt expense. accrued interest revenue on notes receivable for january. unpaid salaries at the end of january are $33,700. accrued income taxes at the end of january are $10,100