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A production process assumes a population mean of µ = 80.
Periodically this process is tested. A Sample of n =100 is taken. The standard deviation = 8
The firm has already decided that any sample mean below 78 or above 82 will signal the workers that the process is not working properly.
Using this information, calculate alpha risk (probability of Type I error).
Here are the DMS odor thresholds for 10 untrained students:
Using the following data on 15 workers, construct an exact 95% confidence interval for µ.
Since 38% is less than 40%, does this mean that immediate production cutbacks are needed or can this difference of 2 percentage points be attributed to sampling?
FBI Report do greater universities that tend to have more property crime. Keep a scatter diagram also sketch the line you think best fits the data.
How many subjects would you approximately need to reduce the length of the 95% confidence interval to 2 units?
Describe meaning of alternatives, criteria and states of nature. Explain how are they utilized in decision analysis?
Determine the probability of exactly one success given Poisson distribution with mean of 2.0.
A sample of 100 observations has a mean of 2.99 and a standard deviation s equal to 0.5 Conduct the following test of hypotheses about the corresponding population mean at a level of significance of α = 0.2
Conduct the hypothesis test and compute the p-value. At a 0.05 level of significance, what is your conclusion?
Construct the 90% and 99% confidence interval for population mean. Which interval is wider? If convenient, utilize technology to construct confidence intervals.
The number of standard errors that the sample estimate (p 1 - p 2 ) of (p1 - p2) falls from its null hypothesis value of zero is called
According to the patient's history and physical examination. What are the chances of herniation if the MRI is positive?
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