In Problem 3.69 on page 156, you were introduced to teabag-filling operation. An important quality characteristic of interest for this process is the weight of the tea in the individual bag. The file Teabags contains an ordered array of the weight, in grams, of a sample of 50 tea bags produced during an 8-hour shift. a. Is there evidence that the mean amount of tea per bag is different from 5.5 grams? Use α = 0.01. b. Construct a 99% confidence interval estimate of the population mean amount of tea bag. Interpret this interval. c. Compare the conclusions reached in (a) and (b).
In Problem 3.69 on page 156, you were introduced to teabag-filling operation. An important quality characteristic of interest for this process is the weight of the tea in the individual bag. The file Teabags contains an ordered array of the weight, in grams, of a sample of 50 tea bags produced during an 8-hour shift. a. Is there evidence that the mean amount of tea per bag is different from 5.5 grams? Use α = 0.01. b. Construct a 99% confidence interval estimate of the population mean amount of tea bag. Interpret this interval. c. Compare the conclusions reached in (a) and (b).
Solution Summary: The author explains how to perform the t-test using Minitab.
In Problem 3.69 on page 156, you were introduced to teabag-filling operation. An important quality characteristic of interest for this process is the weight of the tea in the individual bag. The file Teabags contains an ordered array of the weight, in grams, of a sample of 50 tea bags produced during an 8-hour shift.
a. Is there evidence that the mean amount of tea per bag is different from 5.5 grams?
Use
α
=
0.01.
b. Construct a 99% confidence interval estimate of the population mean amount of tea bag. Interpret this interval.
c. Compare the conclusions reached in (a) and (b).
Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.
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