Debbie Dallas has projected three possible scenarios for a project as follows: Pessimistic:  NOI will be $220,000 the first year and then decline 2 percent per year over a three year holding period. The project will sell for $2.19 Million a t the end of year 3. Most Likely-  NOI will be level at $220,000 per year for the next 3 years (level NOI) and the property will sell for $2.2 Million at the end of year 3. Optimistic – NOI will be $220,000 for the first year, and grow 5 percent per year over the three year holding period. The project will sell for $2.25 Million. the asking price for the property is $2.2 Million. Ms. Dallas thinks that there is a 25 percent probability for the pessimistic scenario, a 40 percent probability of the most likely scenario and a 35 percent probability of the Optimistic scenario. A. Compute the IRRs for each scenario. B.  What is the Expected IRR? C.  Compute the variance and Standard Deviation of the IRRs. D.  IF another project offered a 10% return and had a standard deviation of 5%, which investment would be preferred?  (justify your answer).

In what 1988 case did the Supreme Court limit efforts to protect child witnesses in court?

Periodic meetings to determine whether the conditions of the case plan for an abused child are being met by the parents or guardians of the child are referred to as

What term refers to nuclear families that are the product of divorce and remarriage?

The Oregon Social Learning Center (OSLC) programs typically use which techniques to help parents acquire proper disciplinary methods?

The association between parental deviance and their children’s delinquency may be related to labeling and what other factor?

Which condition is said to occur when parents have such large families that their resources, such as time and money, are spread too thin, causing a lack of familial support and control?

A hospital records patient information, including names and medications, in an electronic health record system that uses a relational database. What type of data is this?

A car dealership records the number of cars sold each month. What type of data is this?

PCA is typically used to reduce the number of dimensions of a machine learning problem. For example, we might go from 20 features to just using the top 10 components identified by PCA. Intuitively, this would tell us that we are throwing away some information. But, strangely, when the dataset it noisy, throwing away some of the low PCA components might get us better results. Why is this the case?