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A manufacturer of a certain type of large machine wishes to buy rivets from one of two manufacturers. It is important that the breaking strength of each rivet exceed 10,000 psi. Two manufacturers (A and B) offer this type of rivet and both have rivets whose breaking strength is normally distributed. The mean breaking strengths for manufacturers A and B are 14,000 psi and 13,000 psi, respectively. The standard deviations are 2000 psi and 1000 psi, respectively. Which manufacturer will produce, on the average, the fewest number of defective rivets?
Type the above data into the SPSS Data Editor window, or save this file as an unformatted text file and write SPSS syntax to read it in.
Information on a packet of seeds claims that the germination rate is 92%, only 171 of 200 test seeds sprout. Is this evidence that the seeds have lost viability during a year in storage?
And a standard deviation of 10 inches. What is the probability that the mean annual precipitation during 25 randomly Picked years will be less than 109.8 inches?
For the statement: The mean amount of Pepsi in cans is at least 12 oz. Express the null hypothesis and the alternative hypothesis in symbolic form.
A machine is adjusted so that when under control, the amount of sugar filled in a bag is normally distributed with a mean amount of 5 pounds.
Explain what is meant by subjective probability. Research the Internet, and provide a business-related example in which subjective probability assessment would likely be used (be sure to cite your sources).
Find the percentage of the 1000 enemy that will be destroyed.
What would be the critical value under the null hypothesis if the size of your test were 5%?
I am not understanding how to do this question as I am still trying to grasp an understanding of the material. I came across this question at the end of the chapter:
Preference to change blades is recorded. Do the data support the twin-blade manufacturer's claim? α=.05. This is a t-tests independent samples.
Given what you've learned in this module about the meaning of "statistics", choose one of the examples from Part I (A-F), and raise a relevant question of your own that could be answered by a statistician.
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
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