Suppose Intel stock has a beta of , whereas Boeing stock has a beta of . If the risk-free interest rate is and the expected return of the market portfolio is , according to the CAPM, a. What is the expected return of Intel stock? b. What is the expected return of Boeing stock? c. What is the beta of a portfolio that consists of Intel stock and Boeing stock? d. What is the expected return of a portfolio that consists of Intel stock and Boeing stock? (There are two ways to solve this.

Which of the following is not a characteristic of enterprise applications that cause challenges in implementation? a. they introduce "switching costs," making the firm dependent on the vendor. b. they cause integration difficulties as every vendor uses different data and processes. c. they are complex and time consuming to implement. d. they support "best practices" for each business process and function. e. they require sweeping changes to business processes to work with the software.

Which of the following does not offer an opportunity for timely content? evergreen content news alerts content that suits seasonal consumption patterns content that matches a situational trigger content that addresses urgent pain points

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.