sess the accuracy of a laboratory scale, a standard weight that is known to weigh 1.00 gram is repeatedly weighed 36 times. The resulting measurements (in grams) are shown to the right. Assume that the measured values are normally distributed. Use these data to compute a 95% confidence interval of the mean. weight(g) 0.932979 0.9985 1.020818 1.040727 1.011207
sess the accuracy of a laboratory scale, a standard weight that is known to weigh 1.00 gram is repeatedly weighed 36 times. The resulting measurements (in grams) are shown to the right. Assume that the measured values are normally distributed. Use these data to compute a 95% confidence interval of the mean. weight(g) 0.932979 0.9985 1.020818 1.040727 1.011207
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
To assess the accuracy of a laboratory scale, a standard weight that is known to weigh
1.00 gram is repeatedly weighed 36 times. The resulting measurements (in grams) are shown to
the right. Assume that the measured values arenormally distributed. Use these data to compute
a 95% confidence interval of the mean.
1.00 gram is repeatedly weighed 36 times. The resulting measurements (in grams) are shown to
the right. Assume that the measured values are
a 95% confidence interval of the mean.
weight(g)
0.932979
0.9985
1.020818
1.040727
1.011207
0.968857
1.027251
0.953533
0.986898
0.976004
1.047735
0.958451
1.007717
0.880931
1.102071
0.962264
0.985708
0.88476
0.965137
1.028819
0.962748
1.047765
0.907684
0.9474
1.049368
1.033281
0.96526
0.989381
1.06484
0.857259
0.942749
1.014474
0.958725
1.011039
0.868325
0.986705
Expert Solution

Step 1
The given data is
x |
0.932979 |
0.9985 |
1.020818 |
1.040727 |
1.011207 |
0.968857 |
1.027251 |
0.953533 |
0.986898 |
0.976004 |
1.047735 |
0.958451 |
1.007717 |
0.880931 |
1.102071 |
0.962264 |
0.985708 |
0.88476 |
0.965137 |
1.028819 |
0.962748 |
1.047765 |
0.907684 |
0.9474 |
1.049368 |
1.033281 |
0.96526 |
0.989381 |
1.06484 |
0.857259 |
0.942749 |
1.014474 |
0.958725 |
1.011039 |
0.868325 |
0.986705 |
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