Monthly price data for mdltx and ekwax from yahoo finance is contained in the excel spreadsheet for this exercise. there are 37 months of price data for the period from september 2009 to september 2012. (note: these prices already incorporate dividend payments.) the 36 monthly returns for each fund are also provided. calculate average (arithmetic) monthly return and standard deviation for each fund. you can use the excel functions average, stdev to derive these stats. annualize these statistics. use the correl function in excel to derive the correlation coefficient between the two sets of returns. (annual correlation is the same as monthly correlation. hence, no need to annualize this stat.) using the annualized statistics derived in step 1, compute the expected return and standard deviation for portfolios containing from 0% to 100% mdltx (and 100% to 0% ekwax) by 10% increments. graph the resulting portfolios. based on your analysis, is there any potential benefit to diversification across these two funds? explain. of the 11 portfolios you graphed, which are efficient?

The vaska company buys a patent on january 1, year one, and agrees to pay $100,000 per year for the next five years. the first payment is made immediately, and the payments are made on each january 1 thereafter. if a reasonable annual interest rate is 8 percent, what is the recorded value of the patent? 1. $378,4252. $431,2133. $468,9504. $500,000

University car wash built a deluxe car wash across the street from campus. the new machines cost $219,000 including installation. the company estimates that the equipment will have a residual value of $19,500. university car wash also estimates it will use the machine for six years or about 12,500 total hours. actual use per year was as follows: year hours used 1 3,100 2 1,100 3 1,200 4 2,800 5 2,600 6 1,200 prepare a depreciation schedule for six years using the following methods: 1. straight-line. 2. double-declining-balance. 3. activity-based.

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.