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In order to test the hypotheses:
H0: µ 1 - µ 2 = 0
H1: µ 1 - µ 2 ? 0,
we independently draw a random sample of 18 observations from a normal population with standard deviation of 15, and another random sample of 12 from a second normal population with standard deviation of 25.
a. If we set the level of significance at 5%, determine the power of the test when 1 - 2 = 5.
b. Describe the effect of reducing the level of significance on the power of the test.
Demand Probability
The likelihood or chance that a product or service will be desired or required by the market at a certain time.
Monte Carlo Simulation
A statistical technique employing random variables to simulate a model numerous times, thereby estimating the probable outcomes of various decisions or future events.
Cumulative Probability
The probability that a random variable is less than or equal to a specific value, often visualized as the area under the probability distribution curve to that point.
Demand Probability
The likelihood that a product or service will be purchased at various price levels within a specified time period.
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