The report must include the following parts:
1. Introduction. Briefly describe the variables involved in the situation and how these variables are related. You may include specified value/s found on the graph.
2. Analysis. Applying the different concepts you learned about linear equations in two variables, analyze the pattern/behavior of the graph and show how this pattern/behavior affects the values of the variables involved in the situation. You may include comparisons of the values (coordinates) of points found on the graph or describing what these specific points imply in the situation. Make a general conclusion based on what you understood about what is shown on the graph.
3. Conclusion. Write about the importance of knowing how to read and analyze graphs that show relationships between the variables involved. In general, how is learning about linear equations in two variables help you in the process of making sound decisions?
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Answer:
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1. Let X be a random variable with moment generating function Mx(t) = 1/2 (1 + exp(t)) Derive the variance of X.
2. Jeffrey claims that thirty four percent of Americans support legalization of marijuana. You randomly select 50 Americans and ask them if they support legalization of marijuana. Assume Jeffrey is correct and let the random variable X be the number in your sample who support legalization.
a. On average, how many people in your sample do you expect to support the legalization of marijuana if Jeffrey is correct?
b. P X(14) (4 points)
c. P X(24 (4 points)