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Effect of an Outlier The methods of this section have a fairly strict requirement that the two populations have normal distributions. The presence of an outlier is evidence against a normally distributed population. Repeat Exercise 6 after deleting the outlier of 504 lb in the sample of axial loads of cans that are 0.0111 in. thick. After deleting that outlier, the 174 values have a mean of 280.5 lb and a standard deviation of 22.1 lb. Does the outlier have much of an effect on the results?
Proportion of out-of-tolerance items is greater than 0.02, the robot will be overhauled. Otherwise it will be allowed to continue operating. What is the probability that a satisfactory robot will be overhauled unnecessarily?
there is a row of n chairs each containing a student. let an be the number of ways to reassign seats so that each
a constant pressure pistoncylinder has 1 kg of saturated liquid water at 100kpa. a rigid tank contains air at 1200k
Confirm whether given random variable is binomial distribution or not. If this experiment is finished with replacement, explain why.
Should the company adopt the new tread pattern? What is the correct alternative hypotheses to test whether this is strong evidence that they have failed to attain their goal.
Markland Manufacturing intends to increase capacity by overcoming a bottleneck operation by adding new equipment. Two vendors have presented proposals.
If I were to invite you to play the above game where I would pay you your score in dollars (1 point = 1 dollar), what should I charge you to play?
Genzero Pharmaceuticals developed the following regression model based on time series data from the past 33 quarters, for one of its non-prescription cold remedies:
Although controversial and the subject of some recent lawsuits, some human resource departments administer standard IQ tests to all employees. The Stanford-Benet test scores are well modeled by a Normal model with mean 100 and standard deviation 1..
Why might supposition of normal population be doubtful? Problem arises when?
a company that manufacturers coffee for use in commercial machines monitors the caffeine content in its coffee. the
1. let x and y be bernoulli random variables. let z x ya. show that if x and y cannot both be equal to 1 then z is
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