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A manufacturing process produces items whose weights are normally distributed. It is known that 22.57% of all the items produced, weigh between 100 grams up to the mean and 49.18% weigh from the mean up to 190 grams. What are the mean and standard deviation?
Critically illustrate out the properties of a normal distribution. Explain why there are an infinite number of normal distributions.
We are establishing a quality control program for a process and need to establish the mean and standard deviation for the process. The first 10 batches had samples of size 5 taken.
In you determine the GPA of 10 members of the class and then calculate the average, will the number you get necessarily be the same as the average GPA for the whole class? On what factors would you expect the reliability of the estimate to depend..
What is the optimal strategy for producing 500 tons of newsprint pulp, 600 tons of packaging pulp, and 300 tons of print stock quality pulp at minimum cost?
Chi-square test for independent of attributes - A random sample of students is interviewed to determine if there is an association between class and attitude toward corporations?
At the .05 significance level, is the number of units produced on the afternoon shift larger?
Probability based on normal distribution. Suppose among X has a normal distribution, and find the indicated probability.
The study compared the number of Hm-2 gene mutations in each group. The data table is below.
In performing the symmetric approximation, you calculate a mean of the total system cost as $1,725K. The variance is 22500. The POE is $1,600K.
Describe the effect of an outlier or extreme value on the confidence interval - Find the probability that the return for common stocks
Calculate an 85% confidence interval for the population mean number of wolf pups per den at southwestern United States (US).
Assuming that a difference (Δ) of 2 lbs. in the mean was important to detect, a maximum Type I Error (α) level of 5%, and the desire to run a two-tailed test, then:
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