please be specific with your answer, thanks

2. Statistical measures of stand-alone risk Remember, the expected value of a probability distribution is a statistical measure of the average (mean) value expected to occur during all possible circumstances. To compute an asset's expected return under a range of possible circumstances (or states of nature), multiply the anticipated return expected to result during each state of nature by its probability of occurrence. Consider the following case: Tyler owns a two-stock portfolio that invests in Blue Llama Mining Company (BLM) and Hungry Whale Electronics (HWE). Three-quarters of Tyler's portfolio value consists of BLM's shares, and the balance consists of HWE's shares. Each stock's expected return for the next year will depend on forecasted market conditions. The expected returns from the stocks in different market conditions are detalied in the following table: Calculate expected returns for the individual stocks in Tyler's portfolio as well as the expected rate of return of the entire portfollo over the three possible market conditions next year. - The expected rate of return on Blue Llama Mining's stock over the next year is - The expected rate of return on Hungry Whale Electronics's stock over the next year is - The expected rate of retum on Tyler's portfollo over the next year is The expected returns for Tyler's portfolio were calculated based on three possible conditions in the market, Such conditions will vary from time to time, and for each condition there will be a specific outcome. These probabilities and outcomes can be represented in the form of a continuous probsbility distribution graph. For example, the continuous probability distributions of rates of return on stocks for two different companies are shown on the following graph: Based on the graph's information, which statement is false? Company H has lower risk. Company G has lower risk