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a well known apple juice production company maintains records concerning the number of unacceptable containers of apple juice obtained from the filling and capping machines. based on past data, the probability that a container came from machine 1 and was nonconforming is .03 and the probability that a container came from machine 2 and was nonconforming is .07. these probabilities represent the probability of one container out of the total sample having the specified characteristics. half the containers are filled on machine 1 and the other half are filled on machine 2. If a filled container of juice is selected at random, what is the probability that is is a nonconforming container and what is the probability that is was filled in machine II?
Is there evidence to suggest a difference in the mean waiting times at the four body shops? Use the .05 significance level.
JBGHI demands a sample large enough to ensure an error of ± 2% with 90% confidence. What is the necessary sample size?
How can you can discriminate between data that can be analyzed with the chi square and data that can be analyzed with the ANOVA?
To determine the efficiency of the current ticket operation, Mike wishes to examine several queue operating characteristics.
Compare the margin of error for the interval estimates in parts (a), (b), and (c). The margin of error (Increases or Decreases) as p-bar gets smaller.
Assume that probanility that dimond will be stolen is .005, and let x denote insurance company's profit. Compute insurance company's expected profit.
Compute the probability which we will get the sample mean greater than 21; which is , compute P(x > 21). Compute the probability that we will get the sample mean less than 19.385; that is, compute P(x
The other measurement is below 10, i.e. where high measurements tend to cancel low measurements. Use these possibilities to compute the distribution of when n = 2(i.e., find , , etc.).
When n = 250, determine the probability that proportion of couples in sample who are racially or ethnically mixed will be greater than 0.07?
A manufacturer of printed circuit boards uses exponential smoothing with trend to forecast monthly demand of its product. At the end of December, the company wishes to forecast sales for January.
Having a difficult time finding a health care article that pertains to correlation statistical procedures. I am not even sure what that means.
It is generally believed that electrical problems affect about 14% of new cars. An automobile mechanic conducts diagnostic tests on 128 new cars on the lot. What is the standard deviation for the sample proportion?
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