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Cp and "six-sigma." A process with Cp ≥ 2 is sometimes said to have "six-sigma quality."
Sketch the specification limits and a Normal distribution of individual measurements for such a process when it is properly centered. Explain from your sketch why this is called six-sigma quality
Assuming that the amounts spent at this supermarket by all its male and female customers were approximately normally distributed, construct a 90% con?dence interval for the ratio of variance in spending for males and females, σ2/σ2.
identify the types of samples- systematic cluster convenience random stratified1. a sample was taken of every 49th
What was the success probability of each O-ring?
Compute the correlation coefficient. A scatter diagram is provided below. Based on it, does there appear to be any relationship between the number of assemblers and production?
He argues that the regression effect says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
Rum that were sold and the number of churches that were built. What do you think the explanation for this correlation might be?
Pierre would like to carry overnight an amount of money such that the demand on 85% of the nights will not exceed this amount. Can you help Pierre find the required amount of dollars to carry?
a smooth talking student has a 13 probability of talking a policeman out of giving him a speeding ticket. the
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
This problem belongs to Basic Statistics and it is about calculate the variance for the given data
A player throws a fair coin and wins $1 each time it's heads, but loses $1 each time it's tails. The player will stop when his or her net winnings reach $1, or after n throws, whichever comes sooner. What is the player's probability of winning, an..
The production manager wants to estimate the proportion of defective parts received from this supplier. She believes the proportion defective is no more than 0.15 and wants to be within 0.04 of the true proportion of defective parts with a 90% lev..
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