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Question: A large retailer receives shipments of batteries for consumer electronic products in packages of 50 batteries. The packages are held at a distribution center and are shipped to retail stores as requested. Because some packages may contain defective batteries, the retailer randomly samples 400 packages from its distribution center and tests to determine whether the batteries are defective or not. The most recent sample of 400 packages revealed the following observed frequencies for defective batteries per package:
No. of defective batteries Frequency of per packages occurences
0 165
1 133
2 65
3 28
4 or more 9
The retailer's managers would like to know if they can evaluate this sampling plan using a binomial distribution with n = 50 and p = 0.02. Test at the α = 0.01 level of significance.
An experiment was performed to investigate lifetime of a component exposed to high heat. Three different oven types were used at either 550°F or 600°F.
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543 people were selected at random from a large population. 505 of them said they had the internet installed on their
in the milk section of a self-service market there are 150 quarts 100 of which are fresh and 50 of which are a day
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1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles.
question read the attached articles and search for at least 3 more references to design and implement a study to find
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