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1. Determine P(µ - σ ≤ X ≤ µ + σ) for the probability function
x:
1
2
3
4
P(x):
.2,
.4,
.3,
.1
2. The U.S. Department of Agriculture reports that 75% of people who invest in the futures market lose money. Based on the binomial probability function with n = 5, determine:
(a) The probability that all five lose money.
(b) The probability that all five make money.
(c) The probability that at least two lose money.
let w be a random variable giving the number of heads minus the number of tails in three tosses of a coin. list the
An individual has put in a request for a single license. Use simulation to approximate the probability that the request will be granted. Perform at least 20 simulated lotteries (more is better!). Do you think that this is a fair way of distributing..
according to a survey of 25000 households conducted by nielson company 51 of the people watching the 2010 super bowl
Critically discuss why you would or would not expect each of the following variables to be normally distributed.
The Medical Officer of Health in charge of day clinics in the Butterworth district is planning for the expansion of the medical facilities at these clinics based on the growth in demand for the clinics' services.
Calculate and plot lift, given a set of data, and analyze optimal policy. Analyze the data to determine the optimal policy for enhancing profitability.
Is it appropriate to use the methods of this section to find a 95% confidence interval for the mean DBH of all trees in the Wade Tract? Explain why or why not.
statistics from a random sample of 13 men and 19 womens college grade point averages showed the mens average was 2.898
Suppose the probability of a boy being born is the same as the probability of a girl being born. Find the probability that a family with three children will have two boys and one girl.
using the information provided indicate which statistical test you think should be used for each of the following
ACC 544 - What is the difference between a discrete probability distribution and a continuous probability distribution? Give your own example of each and describe the classical method of determining probability.
What does your least-squares regression line predict for the 2010 batting average of someone who hit .365 in 2009? Is the 2010 predicted batting average higher or lower than .365?
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