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Let Y be the jumping distance of a flea. It is known that Y is normally distributed and that its standard deviation is one inch. One flea is observed jumping and the distance it jumps is recorded (Think of this as taking a sample of size one). Consider f(y), the density of a normal distribution with std = 1. In this case y is a fixed, known value. It is mew that is unknown. As such think of f(y) as a function of mew: That is, think of it as f(mew): Find the value of mew that maximizes f(mew): We can think of this as the value of mew that maximizes f(y), the probability that our observed value of y occurs.
In addition, record the values for the UCL, center line, and LCL. Also, record any points that are out of control. Use a z-value of three.
At α = .05, is there a difference in variances? Illustrate all steps clearly, including the illustration of the decision rule.
Which probability distribution is suitable when sampling without replacement?
At a = 0.05, can you reject claim that at least 52% of adults are more probable to purchase a product when there are free samples?
Using the probabilities above what is the expected size of family you draw?
The lengths of pins produced by a machine follow a normal distribution with mean 2.54 cm and standard derivation 0.04 cm.
A company makes camshafts. The camshaft lengths need to be within a certain tolerance or they will not fit. They have produced x bar and s charts
What type of error has possibly been committed? Explain the error in ordinary language.
Determine the variance of X? (Illustrate your computation either in Table or in Equation form)
For a standard normal curve, find the z-score that separates the bottom 90% from the top 10%.
If he selects the three brands at random, what is the probability that he will select the following?
Determine a 95% confidence interval for mean amount spent by all Internet shoppers.
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