!StatisticsPre

Mark Willis, Ronan Downes, 25/8/2020

Tabla de Contenidos

  1. incoming
    1. Twoway Tables
    2. Die Monte-Carlo-Methode zur Bestimmung von pi
    3. Galton-Brett
    4. Interaktives Galton-Brett
  2. Data processing, presentation and interpretation
    1. Drawing a frequency diagram from grouped data.
    2. Distributions and skewness
    3. Covariance
  3. Statistical hypothesis testing using the binomial distribution.
    1. Binomial distribution probability calculator
  4. Probability distributions
    1. The normal distribution.
    2. Inverse normal probability calculator
    3. Approximating a binomial distributionby a normal distribution.
  5. Statistical hypothesis testing
    1. The distribution of the sample mean
    2. Central limit theorem for samples from a binomial dist
    3. Central limit theorem for samples from a Poisson dist
    4. Covariance and correlation introduction.

1.

incoming

  • 1. Twoway Tables
  • 2. Die Monte-Carlo-Methode zur Bestimmung von pi
  • 3. Galton-Brett
  • 4. Interaktives Galton-Brett

1.1.

Twoway Tables

Move the DataSet slider to select a different data set.[br]Move the Seed slider to select a different variation of the problem.
There will be one problem similar to these on test 3.[br][br]This applet is based on tables on pages 210 and 212, and[br]on problems #41, #42, #44 pages 217-18 from Navidi & Monk,[br]"Elementary Statistics", 2nd edition, McGraw-Hill Education [br]2016.[br][br]This applet was originally uploaded 7/25/2013 and updated 8/14/2015.
– James Monaghan

1.2.

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1.3.

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1.4.

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2.

Data processing, presentation and interpretation

  • 1. Drawing a frequency diagram from grouped data.
  • 2. Distributions and skewness
  • 3. Covariance

2.1.

Drawing a frequency diagram from grouped data.

– Mark Willis

2.2.

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2.3.

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3.

Statistical hypothesis testing using the binomial distribution.

  • 1. Binomial distribution probability calculator

3.1.

Binomial distribution probability calculator

– Mark Willis

4.

Probability distributions

  • 1. The normal distribution.
  • 2. Inverse normal probability calculator
  • 3. Approximating a binomial distributionby a normal distribution.

4.1.

The normal distribution.

– Mark Willis

4.2.

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4.3.

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5.

Statistical hypothesis testing

  • 1. The distribution of the sample mean
  • 2. Central limit theorem for samples from a binomial dist
  • 3. Central limit theorem for samples from a Poisson dist
  • 4. Covariance and correlation introduction.

5.1.

The distribution of the sample mean

[b]1.[/b] Move the slider to change the sample size [i]n[/i].[br][b]2.[/b] Click to see distributions of the sample mean.
– Mark Willis

5.2.

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5.3.

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5.4.

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Información