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Consider two normally distributed random variables, X and Y, such that
Mean x= 2 and standard dev. x = 5Mean y= 2 and standard dev. y = 1
In other words, both variables have the same mean but different standard deviations. Draw rough sketches of the two normal curves on the same graph. BE SURE TO LABEL YOUR CURVES. Please show how you arrived at the answer.
Jim and Mike go to a coffee shop during their lunch break and toss a coin to see who will pay. The probability that Mike will pay three days in a row is 0.125.
When there are multiple observations per subject, what issues are there with doing a MNL and an ordered logit model, answer in detail and provide example.
An economist found that a random sample of 42 high school teachers had an average annual salary of $56,490. A previous study showed that the population standard deviation is $4150. Find the 99% confidence interval for µ, the average annual salary ..
If die is loaded so that 6 comes up with probability 0.2 and probabilities of 2,3,4, and 5 faces are not affected, determine the assignment of probabilities to the six faces?
Compute the probability of seven consecutive points falling above the centerline given a stable process. Is this probability associated with type I or type II error?
What is the margin of error for a 95% confidence interval for the difference of the two means (low capacity - high capacity)? (Answer to the nearest hundredth.)
Is it sensible to conclude that this set of n=16 people is not representative random sample of registered voters?
How much evidence is there that the mean composite satisfaction rating exceeds 42?
If we assume that the errors made by rounding off are iid and have a uniform distribution over the interval ( - ~, ~), compute approximately the probability that the sum of the integers is within two units of the true sum.
Based on the result, does there to be an overall perception of 1 minute that is reasonably accurate?
If the test is positive, what is the probability that this person actually has heart disease?
Find out the variance for percentage of tickets? Determine the probability that your sample will have the average between 70 and 75?
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