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what is the probability that a binomial random variable, X, having parameters n = 500 and p = 0.025, takes a value greater than 2? what is the probability that X exceeds 4 if it is known that X exceeds 2? 2) what is the probability that more than 12 tosses of a fair die are required to obtain the first 6?
Choose one of these tests and describe in your own words, the purpose of the test, any particular assumptions or limitations pertaining to the test, and provide an example where you could employ the test.
Players who earn more than 2 million dollars a year is found to be between .82 and .88. Given this information, the sample size that was used was approximately?
Kurt's Adventures, Inc. stock is quite cyclical. In a boom economy, the stock is expected to return 30% in comparison to 12% in a normal economy and a negative 20% in a recessionary period.
The process standard deviation is .15, and the process control is set at plus or minus one standard deviation. Units with weights less than 9.85 or greater than 10.15 ounces will be classified as defects. Round your answer to four decimal places.
question the proportion of successes in a random sample of 400 was calculated as 50.a. estimate the population
1. the correlation between two variables is 0.8 for a sample of 10 observations. we wish to show there is a positive
Can you think of an example where the analysis of variance (ANOVA) can be used? How is ANOVA being used in the workplace, or how should it be used?
Estimate and interpret the p-value of the calculated test statistic above.
A standard deviation of 1.5. The distribution is normal. What proportion of faculty consume an amount between 4 & 6 cups?
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
Compare among expected monetary approach also expected utility approach. Sketch the brokers utility curve and describe what it says about her risk profile.
Use the traditional method to test the given hypothesis. Assume that the population is the normally distributed and that the sample has been randomly selected.
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