Foreign Language Math Science Social Science Business Engineering & Technology Arts & Humanities History Miscellaneous Standardized tests
  1. Math
  2. Statistics And Probability
  3. Normal Distribution
Lecture 2: T-tests Part 1
Lecture 2: T-tests Part 1
Lecture 2: Probability and Insurance
Lecture 2: Probability and Insurance
Lecture 2: Discrete Distributions, Normal Distributions
Lecture 2: Discrete Distributions, Normal Distributions
Lecture 2: Chapter 2
Lecture 2: Chapter 2
Lecture 23 23.1 Pearson’s theorem.
Lecture 23 23.1 Pearson’s theorem.
Lecture 22
Lecture 22
Lecture 2 - Summarizing Data - Wharton Statistics Department
Lecture 2 - Summarizing Data - Wharton Statistics Department
Lecture 2
Lecture 2
Lecture 2
Lecture 2
Lecture 18 Chapter 9: Means and Proportions as Random Variables
Lecture 18 Chapter 9: Means and Proportions as Random Variables
Lecture 18 - Tsinghua Math Camp 2015
Lecture 18 - Tsinghua Math Camp 2015
Lecture 17 17.1 Confidence intervals for parameters of nor- mal distribution.
Lecture 17 17.1 Confidence intervals for parameters of nor- mal distribution.
Lecture 15 15.1 Orthogonal transformation of standard nor- mal sample.
Lecture 15 15.1 Orthogonal transformation of standard nor- mal sample.
Lecture 14 14.1 Estimates of parameters of normal distribu- tion.
Lecture 14 14.1 Estimates of parameters of normal distribu- tion.
Lecture 14
Lecture 14
lecture 13 z scores
lecture 13 z scores
lecture 12 ppt
lecture 12 ppt
Lecture 12 Brownian motion, chi
Lecture 12 Brownian motion, chi
Lecture 10: The Normal Distribution 1. Continuous Random
Lecture 10: The Normal Distribution 1. Continuous Random
Lecture 10
Lecture 10
lecture 1
lecture 1
Lecture 1
Lecture 1
Lecture 06 slides
Lecture 06 slides
Lecture 2 Maximum Likelihood Estimators.
Lecture 2 Maximum Likelihood Estimators.