3

Shopping Cart

View Cart

Subtotal: $800

View cartCheckout

Course Content
Lecture 1
0/2
Introduction, counting techniques
01:20:17
P2
29:15
Lecture 2
0/1
Probability ,Addition rule, complement.
01:59:01
Lecture 3
0/1
Conditional probability &Independence.(multiplication rule)
01:28:01
Lecture 4
0/1
Bayes’ Theorem
02:00:02
Lecture 5
0/1
Discrete and continuous Random variables.
01:51:15
Lecture 6
0/2
P1
02:01:38
Joint , marginal
01:44:15
Lecture 7
0/1
marginal, joint , expected value Discrete
01:07:39
Lecture 8
0/1
mean, variance and covariance continuous
01:53:44
Lecture 9
0/1
Linear combinations
01:40:00
Lecture 10
0/1
chebychev’s Theorem
01:00:00
Lecture 11
0/1
Special discrete distributions
01:37:00
Lecture 12
0/1
Special Continuous Probability Distributions
01:50:00
Final Revision
0/1
revision
02:00:00
Math240-spring 24/25-Bilgi
Exercise Files
L1.pdf
Size: 4.19 MB
Previous
Next
0% Complete

Report

يحتوي على محتوى مسيء أو مهين
سلوك التحرش أو التنمر
يحتوي على محتوى للبالغين أو حساس
يحتوي على رسائل غير مرغوب فيها أو محتوى مزيف أو برامج ضارة محتملة
تحتوي على معلومات مضللة أو خاطئة

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

  • See blocked member's posts
  • Mention this member in posts
  • Invite this member to groups
  • Message this member
  • Add this member as a connection

Please note: This action will also remove this member from your connections and send a report to the site admin. Please allow a few minutes for this process to complete.

Report

You have already reported this .