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# Statistical Analysis on Weight of Filled Packages

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A pet food manufacturer uses an automatic process to fill packages, which have a nominal weight of 40 pounds. Supposed that the actual weight is a normally distributed variable, with a mean of 40.9 pounds, and a standard deviation of 0.5 pounds.

a. What proportion of the individual bags contains less than 40 pounds?
b. If a sample of N=16 bags is selected, find the probability that the average for the sample exceeds 41 pounds.
c. If the sample of N=16 yielded a sample mean of 41.3 pounds, what would you conclude about the filling process, i.e., do you think that the population mean could still be 40.9 pounds? Explain.

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This solution provides assistance with statistical analyses.

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A pet food manufacturer uses an automatic process to fill packages, which have a nominal weight of 40 pounds. Supposed that the actual weight is a normally distributed variable, with a mean of 40.9 pounds, and a standard deviation of 0.5 pounds.

a. What proportion of the individual bags contains less than 40 ...

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• BSc , Wuhan Univ. China
• MA, Shandong Univ.
###### Recent Feedback
• "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
• "excellent work"
• "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
• "Thank you"
• "Thank you very much for your valuable time and assistance!"

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