The mg of sugar that stuck to donuts was recored directly after frying and 5 minutes after frying. Can it be concluded that the variance in sugar adhered to the donuts directly after frying is greater than 5 min after ? Assume normal distribution in bith cases. 75.0548290877.036386476.1574414475.3641256183.9749341874.2266123876.168125780.1801065381.432235482.3782650678.5418627484.9944955382.1452863881.3311199982.3627711675.9448977878.2836775878.7632937479.465441279.8393507181.0560833380.5460531378.5865725875.1603147680.2217264880.6317104478.689576573.6183432377.3471942676.4462021373.9712662479.9973709672.8673528577.9863623372.8949109971.886807372.4810249871.2392517574.3263794480.476050980.6570894772.67010288

The data for the mg of sugar that stuck to donuts after frying and 5 minutes after frying is given.

Answered: The mg of sugar that stuck to donuts…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

The mg of sugar that stuck to donuts was recored directly after frying and 5 minutes after frying. Can it be concluded that the variance in sugar adhered to the donuts directly after frying is greater than 5 min after ? Assume normal distribution in bith cases.

75.05482908
77.0363864
76.15744144
75.36412561
83.97493418
74.22661238
76.1681257
80.18010653
81.4322354
82.37826506
78.54186274
84.99449553
82.14528638
81.33111999
82.36277116
75.94489778
78.28367758
78.76329374
79.4654412
79.83935071
81.05608333
80.54605313
78.58657258
75.16031476
80.22172648
80.63171044
78.6895765
73.61834323
77.34719426
76.44620213
73.97126624
79.99737096
72.86735285
77.98636233
72.89491099
71.8868073
72.48102498
71.23925175
74.32637944
80.4760509
80.65708947
72.67010288

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution