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1. The weight of a product is normally distributed with a standard deviation of 1 ounce. What should the average weight be if the production manager wants no more than 5% of the products to weigh more than 10 ounces?
2. A PGA (Professional Golf Association) tournament organizer is attempting to determine whether hole (pin) placement has a significant impact on the average number of strokes for the 13th hole on a given golf course. Historically, the pin has been placed in the front right corner of the green and the historical mean number of strokes for the hole has been 4.46, with a standard deviation of 1.8 strokes. On a particular day during the most recent golf tournament, the organizer placed the hole (pin) in the back left corner of the green. 36 golfers played the hole with the new placement on that day. Determine the probability of the sample average number of strokes being more than 5.0.
Develop upper and lower control limits (99.7%) for the proportion of students with complaints.
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
In testing the equality of the two means below, what is the test statistic? (Use the unequal variances formula)
Stock form a normal distribution with a mean of $8.52 with a standard deviation of 2.38. What percentage of the scores lie below $7.42?
Calculate a 3-period moving average for period 7. Compute the MAD of the forecast.
Two teams of workers assemble automobile engines at a manufacturing plant in Michigan. Quality control personnel inspect a random sample of the teams assemblies and judge
A grab bag comprises 11 $1 prizes, 7 $5 prizes, and 2 $20 prizes. Three prizes are selected at random. Determine the probability which exactly two $20 prizes are chosen?
Suppose a statistician chose to test a hypothesis at sigma = 0.01. The critical value for a right-tailed test is +2.33. If the test value were 1.97, what would the decision be?
The calculated chi-square test statistic and the table value for a 0.05 significance level are:
Can you show me an example of this? I am a nurse, can you show me an example from the health care field to help me to understand this?
(A) What is the probability that none of the components will fail ??? (B) What is the probability that at least one component will fail ???
Union Membership Nationwide 13.7% of employed wage and salary workers are union members (down from 20.1% in 1983). A random sample of 300 local wage and salary workers showed that 50 belonged to a union.
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