SOLUTION: A random sample of 10 miniature Tootsie Rolls was taken from a bag. Each piece was weighed on a very accurate scale. The results in grams were 3.087 3.131 3.241 3.241 3.270 3.353

Algebra ->  Probability-and-statistics -> SOLUTION: A random sample of 10 miniature Tootsie Rolls was taken from a bag. Each piece was weighed on a very accurate scale. The results in grams were 3.087 3.131 3.241 3.241 3.270 3.353       Log On


   



Question 153491: A random sample of 10 miniature Tootsie Rolls was taken from a bag. Each piece was weighed on a very accurate scale. The results in grams were
3.087 3.131 3.241 3.241 3.270 3.353 3.400 3.411 3.437 3.477
a). Construct a 90 percent confidence interval for the true mean weight. (b) What sample size would be necessary to estimate the true weight with an error of ± 0.03 grams with 90 percent confidence? (c) Discuss the factors which might cause variation in the weight of Tootsie Rolls during manufacture.

Answer by Fombitz(32388) About Me  (Show Source):
You can put this solution on YOUR website!
a)Since you don't know sigma and your sample size is <30, assume your samples are normally distributed.
Use the t-distribution as the best estimate. Degrees of freedom are n-1 or 9.
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The calculated mean,x%5Bm%5D, is 3.3048.
The calculated standard deviation, s, is 0.132
For alpha=0.10 and DOF=9, t=1.833.
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The confidence interval is
x%5Bm%5D-t%28s%2Fsqrt%28n%29%29%3C+mu+%3C+x%5Bm%5D%2Bt%28s%2Fsqrt%28n%29%29
3.3048-1.833%280.132%2Fsqrt%2810%29%29%3C+mu+%3C+3.3048%2B1.833%280.132%2Fsqrt%2810%29%29
3.228%3Cmu+%3C3.381
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b) Working backwards,
t%28s%2Fsqrt%28n%29%29=0.03
t%280.132%2Fsqrt%28n%29%29=0.03
t%2Fsqrt%28n%29=+0.227
t is a function of n so you have to iterate to find n.
I set up an iteration cell in EXCEL using TINV and varying n.
n=54 gives t%2Fsqrt%28n%29=+0.227743
54 samples required to give 0+%2B-+0.03
For this large a value for n, we can use the normal distribution as a check of the value since as n gets large the t distribution approaches the normal distribution.
n=%28%28z%2A%28sigma%29%29%2F0.03%29%5E2
z=1.65 for 90%
Use the calculated 0.132 as an estimate for sigma
n=%28%281.65%2A%280.132%29%29%2F0.03%29%5E2
n=%287.26%29%5E2
n=52.7 or n=53
Good, that's close.
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c) Factors include length errors from cutting machine, air in the mixture, humidity in the plant, density changes in the mixture, etc.