1. Find a data set that is likely random distribution. This could be baseball batting averages, heights, or some other attribute. Should be > 20 values. 2. Using R, create a vector with c command. X <- C(1,2,5,8,9) 3. Find the mean and the standard deviation. The commands are - if X is the vector: mean(X) and sd(X). 4. Use the dnrom command & graph the estimated Gaussian distribution over a reasonable range (created with seq())
1. Find a data set that is likely random distribution. This could be baseball batting averages, heights, or some other attribute. Should be > 20 values. 2. Using R, create a vector with c command. X <- C(1,2,5,8,9) 3. Find the mean and the standard deviation. The commands are - if X is the vector: mean(X) and sd(X). 4. Use the dnrom command & graph the estimated Gaussian distribution over a reasonable range (created with seq())
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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PLEASE type cods For R program thank you
Transcribed Image Text:The average of Dogs Breeds With Longest Life Spans
Jack Russell
Parson Russell terriers
Lhasa apso
Miniature dachshund
Miniature poodle
Bearded collie
Cardigan Welsh corgi
1.
14
14
3
14
4
14
14
13
7
13
Dachshund
14
English springer spaniel
Shetland sheepdog
Shih tzu
Toy poodle
Border collie
West Highland white terrier
Whippet
Afghan hounds
Golden retriever
Australian shepherd
Вeagle
Bichon frise
English cocker spaniel
English setter
Irish setter
Labrador retriever
9
13
10
13
11
14
12
13
13
13
14
13
15
13
16
12
17
12
18
12
19
12
20
12
21
12
22
12
23
12
24
12
25
Maltese
12
26
Miniature schnauzer
12
TOTAL
334
6.
Transcribed Image Text:Gaussian Project
1. Find a data set that is likely random distribution. This could be baseball batting averages, heights, or some other attribute. Should be > 20
values.
2. Using R, create a vector with c command. X <- C(1,2,5,8,9)
3. Find the mean and the standard deviation. The commands are - if X is the vector: mean(X) and sd(X).
4. Use the dnrom command & graph the estimated Gaussian distribution over a reasonable range (created with seq())
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