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An operations manager feels that the output rate of experienced employees is greater than that of new employees but he does not expect the variability in output rates to differ for the two groups. Previous studies indicate that the average unit output per hour for new employees at a particular type of work is 20 units per hour with a variance of 56 units squared. For a group of 20 employees with 5 years' experience, the average output for this same type of work is 30 units per hour with a sample variance of 28 units squared. Does the variability in output appear to differ at the two experience levels? Test the hypotheses at the .05 significance level.
Then test to see whether it considerably varies from 0 [use alpha = 5%]. Don't forget to identify the null and alternative hypotheses.
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be
For a given confidence interval, what is the interpretation of a 96% confidence level?
At.01 significance level, is there relationship between job pressure and age?
Determine the sum of these probabilities , and why is the number less than 1
Determine sample size requirements. When the results are available you would like your margin of error to be plus or minus 5% for the satisfaction measure and plus or minus $1.50 for the spending value.
A single-sample acceptance attributes sampling plan is required to have a producer's risk of 0.06 for an acceptable quality level of 0.5% nonconforming, and a consumer's risk of 0.10 for a rejectable quality level of 5% nonconforming. Use Minitab ..
A sample of n observations is taken from a population. When performing statistical inference about a population variance, the appropriate chi-square distribution has:
A straight rod is formed by connecting three sections A, B and C, each of which is manufactured on a different machine. The length of section A, in inches has a normal distribution with mean 20 and variance 0.04.
Explain the results plot the original data and the fitted regression equations.
What is the probability that: The amount requested is $80,000 or more?
Identify and justify which type of sampling (random, stratified, systematic, cluster, convenience) is used in the following examples.
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