30 regular and double stuff Oreos" were sampled and their filling weighed. Table 1. Example frosting mass data. Filling Masses of Regular Oreos (g) 3.00 2.90 3.20 3.20 3.20 3.12 3.15 3.15 3.01 3.19 3.01 3.17 3.06 3.14 3.16 3.31 3.13 3.23 2.94 3.05 3.14 3.39 3.30 3.09 3.10 3.11 3.24 3.18 3.10 3.15 ling Masses of Double Stuff Oreos (g) 6.11 6.19 6.27 6.18 6.34 6.21 6.05 6.18 6.34 6.23 6.08 6.04 6.13 6.65 6.20 6.12 6.46 6.37 6.19 6.01 6.21 6.27 6.46 6.15 6.15 6.35 6.24 6.25 6.32 6.03 ttps//www.amstat.org/ASA/Education/STEW/home asps The mean of a sample measures the middle of all of the numbers. a) Calculate the mean of each sample. Along with the middle, we would like to measure how spread out the numbers are. The standard deviation measures how spread out the numbers are. A quick and dirty estimation of the standard deviation is one-sixth of the range of the data. That is, get the distance between the min and max and then divide that by six. b) Estimate the standard deviation of each sample. ) Which fillings were more spread out? 10) d) Which fillings were more consistent? How did you decide?
30 regular and double stuff Oreos" were sampled and their filling weighed. Table 1. Example frosting mass data. Filling Masses of Regular Oreos (g) 3.00 2.90 3.20 3.20 3.20 3.12 3.15 3.15 3.01 3.19 3.01 3.17 3.06 3.14 3.16 3.31 3.13 3.23 2.94 3.05 3.14 3.39 3.30 3.09 3.10 3.11 3.24 3.18 3.10 3.15 ling Masses of Double Stuff Oreos (g) 6.11 6.19 6.27 6.18 6.34 6.21 6.05 6.18 6.34 6.23 6.08 6.04 6.13 6.65 6.20 6.12 6.46 6.37 6.19 6.01 6.21 6.27 6.46 6.15 6.15 6.35 6.24 6.25 6.32 6.03 ttps//www.amstat.org/ASA/Education/STEW/home asps The mean of a sample measures the middle of all of the numbers. a) Calculate the mean of each sample. Along with the middle, we would like to measure how spread out the numbers are. The standard deviation measures how spread out the numbers are. A quick and dirty estimation of the standard deviation is one-sixth of the range of the data. That is, get the distance between the min and max and then divide that by six. b) Estimate the standard deviation of each sample. ) Which fillings were more spread out? 10) d) Which fillings were more consistent? How did you decide?
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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MATH 1122 Homework 13.pdf
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5 of 6
30 regular and double stuff Oreos were sampled and their filling weighed.
Table 1. Example frosting mass data.
Filling Masses of Regular Oreos (s)
3.00
2.90
3.20
3.20
3.20
3.12
3.19
3.31
3.39
3.18
3.15
3.15
3.14
3.01
3.01
3.17
3.06
3.16
3.13
3.23
2.94
3.05
3.14
3.30
3.09
3.10
3.11
3.24
3.10
3.15
Filling Masses of Double Stuff Oreos (g)
6.11
6.19
6.27
6.18
6.34
6.21
6.05
6.18
6.34
6.23
6.08
6.04
6.13
6.65
6.20
6.12
6.46
6.37
6.19
6.01
6.21
6.46
6.27
6.25
6.15
6.15
6.35
6.24
6.32
6.03
https://www.amstat.org/ASA/Education/STEW/home.asp
The mean of a sample measures the middle of all of the numbers.
a) Calculate the mean of each sample.
Along with the middle, we would like to measure how spread out the numbers are. The standard
deviation measures how spread out the numbers are. A quick and dirty estimation of the standard
deviation is one-sixth of the range of the data. That is, get the distance between the min and max and
then divide that by six.
b) Estimate the standard deviation of each sample.
c) Which fillings were more spread out?
10)
d) Which fillings were more consistent? How did you decide?
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