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Assume the following table gives the joint PDF (probability distribution function, not Adobe document!!) of two discrete variables, x and Y. Variable X -2 0 2 3 3 0.27 0.08 0.16 0 Variable Y 6 0 0.04 0.10 0.35
Understanding of the Table: If the variable X takes on a value, (-2) and the variable Y takes on a value 3, their joint probability is 0.27. In other words, the probability of X=-2 and Y=3 at the same time is 0.27. Continuing this, the probability of X=0 and Y=3 is 0.08 and so on. Using the information given in the table above, Analyse
Marginal Probability Density Functions of X and Marginal Probability Density Functions of Y.
Conditional probability of (X=-2|Y=3) and the conditional probability of (X= 2 | Y=6).
Consider the following short run production function. Q 0 15 35 60 90 115 135 150 16
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Factor that affect the volume of production
A firm has the certain total revenue (TR) function: TR=(4Q+2) e 4Q where Q is Quantity Find the firm's marginal revenue function.
Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ 2 )(Use the assumptions outlined in our class and available for review in the lecture note
In a simple economy, people consume only 2 goods, food and clothing. The market basket of goods used to compute the CPI has 50 units of food and 10 units of clothing.
Hi I am currently working on my econometrics coursework which is to replicate a published paper. I was given the same data set as the paper and suppose to get the same answer as th
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