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Truck tire life is normally distributed with a mean of 60,000 miles and a standard deviation of 4,000 miles. You bought four tires. What is the probability that the average mileage of the four tires exceeds 66,000 miles?
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
The sample data are summarized by the statistics n = 27, x = 4.6 years, s- 1.9 years.
Confidence interval for the population mean - Prepare a 99% confidence interval for the population mean.
In a large western university, 15% of the students are graduate students. If a random sample of 20 students is selected, what is the probability that the sample contains:
Computing the probability values using normal distribution - Find the probability that a regular rat (without the supplement) would solve the maze with a score less than or equal to X = 24 errors?
Plot fitted values against residuals. Does this plot point out any problems with homoscedasticity?
Find the equation for the regression line for the data, and predict the final grade of a student who misses 3.5 days.
You want to create a 90% confidence interval for the true average number of yards per game he throws. What is the margin of error for this estimate?
Both days have sample standard deviations of 3.4. Is the average mean of size different from day 1 to day 2?
Create a 99 percent confidence interval for difference in means between Line B and Line C.
The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context.
Determine the likelihood of accepting a lot which is 1% defective?
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