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The manager of Tammy Corporation wants to determine whether or not the type of work schedule for her employees has any effect on their productivity. She has selected 15 production employees at random and then randomly assigned five employees to each of the three proposed work schedules. The following table shows the units of production (per week) under each of the work schedules.
Work Schedule (Treatments)
Schedule 1 Schedule 2 Schedule 3
50 60 70
60 65 75
70 66 55
40 54 40
45 57 55
At a 0.05 level of significance, determine if there is a significant difference in the mean weekly units of production for the three types of work schedules (perform all six steps of hypothesis testing and show the ANOVA table).
Use Chebyshev's theorem to find what percent of the values will fall between 162 and 292 for a data set with a mean of 227 and standard deviation of 13.
A wildlife biologist captures a certain species of geese in orer to weigh them. Using science, he determines that the weights are normally distributed with a mean of nine pounds and a standard deviation of 1.3 pounds.
A survey on household income in Northeast NJ area gave the following numbers in thousands of dollars:
Consider that measurement 2 (M2) in random sample of 1000 controls from the Disease Y study population follows the normal distribution.
A graphical presentation may accomplish ALL BUT which of the following objectives? Illustrate the amount of variation in the data.
When we say we have confidence level of 95% what do you believe our "margin of error" is?
Findout the probability using normal approximation for the provided values. Findout the specified probability from a table of Normal probabilities.
The average income of 11 families who reside in a rural area of the Midwest is $60,213, with a standard deviation of $2009. At α =0.05, can it be concluded that the families who live in the cities have a higher income than those who live in the ru..
A researcher is evaluating the influence of a treatment using a sample selected from a normally distributed population with a mean of µ = 80 and a standard deviation of σ = 20. The researcher expects a 12 point treatment effect and plans to use a ..
Test the given claim using the traditional method of hypothesis testing.
The average could be a poor estimate of the spending of all teenagers given that only teenagers in malls were sampled.
Explain a Type I error for this situation. Explain a Type II error for this situation.
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