Why are z-scores useful? A. They help us calculate average sales.
B. They assume a non-normal distribution
C. They let us compare variables with different scales
D. They allow us to calculate the percentage of profits

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.

Bill dukes has $100,000 invested in a 2-stock portfolio. $62,500 is invested in stock x and the remainder is invested in stock y. x's beta is 1.50 and y's beta is 0.70. what is the portfolio's beta? do not round your intermediate calculations. round the final answer to 2 decimal places.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]