Episode 26: Episode 26 - The normal distribution

Update: 2015-09-20

Description

Continuous probability density functions
The normal distribution
Calculating probabilities
Z tables
Finding values from a probability

Comments

In Channel

Episode 35: Episode 35 - Sampling & populations

2016-09-1021:54

Episode 34: Episode 34 - Continuous probability distributions

2016-09-1013:39

Episode 33: Episode 33 - Approximating areas under curves

2016-08-1210:23

Episode 32: Episode 32 - Quadratic graphs

2016-04-1613:58

Episode 31: Episode 31 - Transformation of functions

2016-03-3118:04

Episode 30: Episode 30 - Simultaneous equations

2016-02-2516:55

Episode 29: Episode 29 - Inverse functions

2016-02-1508:23

Episode 28: Episode 28 - Graphs of circular functions

2015-12-3112:44

Episode 27: Episode 27 - The binomial probability distribution

2015-10-0418:37

Episode 26: Episode 26 - The normal distribution

2015-09-2013:38

Episode 25: Episode 25 - Discrete probability distributions

2015-09-1712:45

Episode 24: Episode 24 - Definite integrals

2015-08-0113:47

Episode 23: Episode 23 - More Integration

2015-07-2416:12

Episode 22: Episode 22 - Euler's Rule for Linear Approximations

2015-07-0306:38

Episode 21: Episode 21 - Related rates of change

2015-06-2206:12

Episode 20: Episode 20 - The product & quotient rules

2015-05-1110:13

Episode 19: Episode 19 - Derivatives of circular functions

2015-05-0857:46

Episode 18: Episode 18 - Derivatives of logarithmic functions

2015-05-0308:07

Episode 17: Episode 17 - Derivatives of exponential functions

2015-05-0307:41

Episode 16: Episode 16 - The chain rule

2015-05-0111:23

00:00

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Episode 26: Episode 26 - The normal distribution

#box-pro-ellipsis-175813743560123{-webkit-line-clamp:2;}Episode 26: Episode 26 - The normal distribution

Episode 26: Episode 26 - The normal distribution

Maths Methods

Episode 26: Episode 26 - The normal distribution