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A quality control supervisor has taken a sample of 16 bolts from the output of a thread-cutting machine and tested their tensile strengths. The results, in tons of force required for breakage, are as follows:
2.20 2.15 1.85 2.231.98 2.24 1.96 2.271.95 2.08 1.92 2.192.07 2.31 2.30 1.89
a) Determine the mean, median, range, and midrange.b) Calculate the mean absolute deviation (MAD).c) Calculate the standard deviation and variance
What are the best-case and worst-case outcomes the owner may face on this product if she implements your suggestion?
For three independent samples, each with n = 100, the respective sample proportions are 0.30, 0.35, and 0.25. Use the 0.05 level in testing whether the three population proportions could be the same.
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the null hypothesis and the alternate hypothesis.
Identify three discrete variables that appear in your current or future career. How do those variables affect your workplace, your product, or your personnel? How would changes in those variables affect these things?
Locate value of the population mean in your sketch and make an estimate of the standard deviation
Determine the probability that number of requests in 10 hour work day is between 68 and 80 inclusive? Give your answer to four decimal places.
Positive values correspond to students who gained weight and negative numbers correspond to students who lost weight. Is a weight fain of 15 pounds of (6.8) kilograms unusual?
Use the model to predict the selling price of a house that is 1,860 square feet.
Employees of a local company are classified according to gender and job type. The following table summarizes the number of people in each job category.
This is a test regarding two dependent samples. There is sufficient evidence to conclude that the mean price of textbooks is lower at seller A.
Pollsters try to determine whether or not a person is a "likely voter" before they count their opinion in a poll. If we assume 40% of the registered voters will actually vote, in a random sample of 100 registered voters we can be 95% confident tha..
Is there evidence that teams with higher total payrolls tend to be more successful? Justify your answer.
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