Using the estimation technique described in Step 3.1, what percentage of your investment would you allocate to WFC and MSFT, respectively, to arrive at a portfolio with the minimum variance? Using the Solver technique described in Step 3.2, what more precise percentage of your investment would you allocate to WFC and MSFT, respectively, to arrive at a portfolio with the minimum variance?

Journalize the following transactions that occurred in september 2015 for aquamarines. no explanations are needed. identify each accounts payable and accounts receivable with the vendor or customer name. sep. 3 purchased merchandise inventory on account from shallin wholesalers, $5,000. terms 1/15, n/eom, fob shipping point. 4 paid freight bill of $80 on september 3 purchase. 4 purchased merchandise inventory for cash of $1,700. 6 returned $500 of inventory from september 3 purchase. 8 sold merchandise inventory to hermosa company, $6,000, on account. terms 2/15, n/35. cost of goods, $2,640. 9 purchased merchandise inventory on account from thomas wholesalers, $8,000. terms 2/10, n/30, fob destination. 10 made payment to shallin wholesalers for goods purchased on september 3, less return and discount. 12 received payment from hermosa company, less discount. 13 after negotiations, received a $200 allowance from thomas wholesalers. 15 sold merchandise inventory to jordan company, $2,500, on account. terms 1/10, n/eom. cost of goods, $1,050. 22 made payment, less allowance, to thomas wholesalers for goods purchased on september 9. 23 jordan company returned $400 of the merchandise sold on september 15. cost of goods, $160. 25 sold merchandise inventory to smithsons for $1,100 on account that cost $400. terms of 2/10, n/30 were offered, fob shipping point. as a courtesy to smithsons, $75 of freight was added to the invoice for which cash was paid by aquamarines. 26 after negotiations, granted a $100 allowance to smithsons for merchandise purchased on september 25. 29 received payment from smithsons, less allowance and discount. 30 received payment from jordan company, less return.

The struter partnership has total partners’ equity of $510,000, which is made up of main, capital, $400,000, and frist, capital, $110,000. the partners share net income and loss in a ratio of 80% to main and 20% to frist. on november 1, adison is admitted to the partnership and given a 15% interest in equity and a 15% share in any income and loss. prepare journal entries to record the admission of adison for a 15% interest in the equity and a 15% share in any income and loss under the following independent assumptions. (1) record the admission of adison with an investment of $90,000 for a 15% interest in the equity and a 15% share in any income and loss. (2) record the admission of adison with an investment of $120,000 for a 15% interest in the equity and a 15% share in any income and loss. (3) record the admission of adison with an investment of $80,000 for a 15% interest in the equity and a 15% share in any income and loss.

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e. g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.