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This ppt is based on engineering maths.
the topis is Gauss jordan and gauss elimination method.
This ppt having one example of both method and having algorithm.
The well-known methods' that utilized in the numerical techniques. Several examples illustrated to make the numerical methods that presented more sensible. The Excel program is utilized in this paper.
YouTube Link: https://youtu.be/UoHu27xoTyc
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This Edureka PPT on Least Squares Regression Method will help you understand the math behind Regression Analysis and how it can be implemented using Python.
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Identify the independent and dependent variable;
Draw the best fit line on a scatter plot;
Calculate the slope and the y-intercept of the regression line;
Interpret the calculated slope and the y-intercept of the regression line;
Predict the value of the dependent variable given the value of the independent variable; and
Solve problems involving regression analysis.
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1. Calculate the Pearson Product Moment Correlation Coefficient
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Visit the Website for more services it can offer: https://cristinamontenegro92.wixsite.com/onevs
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Gauss jordan and Guass elimination methodMeet Nayak
This ppt is based on engineering maths.
the topis is Gauss jordan and gauss elimination method.
This ppt having one example of both method and having algorithm.
The well-known methods' that utilized in the numerical techniques. Several examples illustrated to make the numerical methods that presented more sensible. The Excel program is utilized in this paper.
YouTube Link: https://youtu.be/UoHu27xoTyc
** Machine Learning Engineer Masters Program: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on Least Squares Regression Method will help you understand the math behind Regression Analysis and how it can be implemented using Python.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Identify the independent and dependent variable;
Draw the best fit line on a scatter plot;
Calculate the slope and the y-intercept of the regression line;
Interpret the calculated slope and the y-intercept of the regression line;
Predict the value of the dependent variable given the value of the independent variable; and
Solve problems involving regression analysis.
Visit the Website for more Services it can offer:
https://cristinamontenegro92.wixsite.com/onevs
1. Calculate the Pearson Product Moment Correlation Coefficient
2. Solve problems involving correlation analysis.
Visit the Website for more services it can offer: https://cristinamontenegro92.wixsite.com/onevs
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A uniform distribution has density function find n (1)
1. Example
A uniform distribution has density function
𝑓(𝑥) =
1
8
0 ≤ 𝑥 ≤ 8
Find how large the value of ‘n’ must be in order
𝑃(3.5 ≤ 𝑥̅ ≤ 4.5) ≥ 0.8
Solution
First to find mean and standard deviation of uniform
distribution.
𝑀𝑒𝑎𝑛 𝑜𝑓 𝑢𝑛𝑖𝑓𝑜𝑟𝑚 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 =
𝑎 + 𝑏
2
=
0 + 8
2
= 4
𝑆𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑑𝑒𝑣𝑖𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑢𝑛𝑖𝑓𝑜𝑟𝑚 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 =
√
(𝑏−𝑎)2
12
= √
(8−0)2
12
= 2.31
As the Z- distribution is symmetrical about mean
therefore the area before and after the mean will be equal.
That is 𝑃(3.5 ≤ 𝑥̅ ≤ 4.5) ≥ 0.8