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Q1) By measuring amount of time it takes component of the product to move from one workstation to next, an engineer has evaluated that standard deviation is 3.5 seconds.
(A) How many measurements must be made in order to be 99% certain that maximum error of estimation won't exceed 1 second?
(B) What sample size is needed for a maximum error of 2 seconds?
Q2) In 1992, FAA conducted 86,991 pre-employment drug tests on job applicants who were to be engaged in safety and security-related jobs, and determined that 1,143 were positive.
(a) Create a 95% confidence interval for population proportion of positive drug tests.
(b) Why is normality assumption not problem, despite the very small value of p?
Describe the sampling distribution model of this mean.
Find the probability of failure of system for any 4 hours of operation?
The Pearson Product-Moment Correlation Coefficient (r) is a measure of linear relationship between two variables.
Determine the pairs which are significant according to LSD and what pairs are important according to Bonferroni?
how many individuals will I need to sample if I want a 95% margin of error to be no more than 3%, I want to know if the results are significant at = 10%. With the information given.
The weights (in pounds) of a sample of five boxes being sent by UPS are: 12, 6, 7, 3, and 10.
An experiment was conducted to determine the effects of three different pesticides (P1,P2,P3) on the yield of three different varieties of citrus tree (V1,V2,V3).
MATH1550H: Assignment: Question: Experience shows that X, the number of customers entering a post office during any period of time t, is a random variable the probability mass function of which is of the form
The upper limit of a 95% confidence interval for the population mean would equal:
Formulate the hypotheses that can be used to test the validity of the brokerage firm executive's claim.
What is the probability that a cereal would be high calorie, given that is low fiber? In other words, what is P (high calorie, given low fiber)?
What is the probability that there will be more than three trucks either being loaded or waiting?
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