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Problem:
(a) Differentiate between linear and log-linear model.
(b) Distinguish between type I and type II errors.
(c) (i) A bulb manufacturer claims that its bulbs last 36000 hours, on average. A consumer believes that it is actually less and plans to test this by assessing the lifetime of bulbs on a sample of 35 bulbs and tests these assumptions at significance level of 0.05. If the standard deviation of bulb life is 4000 hours, what is the probability of a type II error if the actual mean lifetime of the bulb is 33000 hours?
(ii) Given that the significance level is 0.005, what is the probability of a type II error if the actual mean lifetime of the bulb is 32500 hours?
Let W be a random variable such that Supp (W) = {2, -1, 0, 1, 2 } and What is p? Define U = W 2 . What is Supp (U) and fU (u) = Pr [U = u] for u ∈ Supp (U)? Compute E [W] a
Profit maximization is theoretically the most sound but practically unattainable objective of business firms. In the light of this statement critically appraise the Baumol’s sales
a. If 10,000 two-liter bottles of Pepsi are currently being demanded in your community each month, and the price increases from $1.90 to $2.10 per bottle, what will happen to quant
#question.elaborate the different methods for the estimation of simultaneous equation model in case of exact and over identification?
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