Ex5) A store carries flash drives with either 1GB, 2GB, 4GB,8GB or 16GB of memory. The accompanying table gives thedistribution of Y=the amount of memory in a purchased dive:Y124816P(y)0.050.100.350.400.10Construct the cumulative distribution function.

Answered: Image /qna-images/answer/7879de23-7071-4494-acf6-bc7423ca1060.jpg

Answered: Y 1 2 4 8. 16 |P(y) 0.05 0.10 0.35 0.40…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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If Ô₁ and ₂ are unbiased estimators of the same parameter 0, what condition must be imposed on the con- stants k₁ and k2 so that k₁ Ô₁+k₂Ô₂ is also an unbiased estimator of 0?
Prob-2 The diameter of metal cylinder has a probability density function of f(x)=1.5-6(x-50.0)² [mm] 500 metal cylinders delivered to engine assembely plant... How many cylinders' diameters, D< 50.0 mm ? Sol:
Period People (Y) Ocupation percentage (X) 2009 1T 46,977,904 59.7 2009 2T 47,453,163 59.3 2009 3T 48,738,589 60.2 2009 4T 48,903,792 60.4 2010 1T 48,069,274 59.9 2010 2T 49,133,132 60.2 2010 3T 49,190,032 58.7 2010 4T 48,478,718 58.8 2011 1T 48,505,168 59.3 2011 2T 49,482,112 59.5 2011 3T 50,127,032 59.7 2011 4T 50,772,496 60.5 2012 1T 50,192,842 60.3 2012 2T 51,477,178 60.7 2012 3T 51,927,050 60.7 2012 4T 51,317,999 60 2013 1T 50,847,242 60 2013 2T 51,895,865 60.4 2013 3T 52,034,353 60.2 2013 4T 52,370,886 60.7 2014 1T 51,559,018 60.3 2014 2T 51,836,752 59.8 2014 3T 52,192,043 59.6 2014 4T 52,108,400 59.4 2015 1T 52,007,842 59.7 2015 2T 52,623,721 59.6 2015 3T 53,179,919 59.7 2015 4T 53,809,017 60.3 2016 1T 52,918,649 59.7 2016 2T 53,539,565 59.6 2016 3T 54,226,803 59.9 2016 4T 54,034,800 59.6 2017 1T 53,681,720 59.7 2017 2T 54,068,791 59.3 2017 3T 54,369,915 59.1 2017 4T 54,696,638 59.3 2018 1T 54,590,773…
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Find the standard deviation. P(x) x*P(x) (x - )?P(x) 0.1 2(0.1) = 0.2 | (2 – 5.4)²(0.1) = 1.156 4 0.3 4(0.3) = 1.2 | (4 – 5.4)²(0.3) = 0.588 6 0.4 6(0.4) = 2.4 (6 – 5.4) (0.4) = 0.144 %3D 8 0.2 8(0.2) = 1.6 | (8 – 5.4)(0.2) = 1.352 %3D %3D Table 4.24
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Y 1 2 4 8. 16 |P(y) 0.05 0.10 0.35 0.40 0.10 Construct the cumulative distribution function.