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Statistics Level 1 Training Course

Statistics

 NobleProg - IT training courses
This course has been created for people who require general statistics skills. It can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research, etc...
Delegates should have a solid high school level maths knowledge.
This is primarily ilt training
workshop / seminarThis is a workshop seminar
on-line e-learning cbt (computer based)This is an online eLearning or CBT training program
computer labComputer Lab Work
group study and discussionThis class may involve group study
simulation, demonstrationsimulation, demonstration
instructor led trainingThis class may be available at a classroom in London, London, or at one of these training facilities: London, London, London, London, London, London, London, London, London, London, Bristol, Avon, Bath, Somerset, Cardiff, South Wales, Portsmouth, Hampshire, Swindon, Wiltshire,
Course Level:basic through advanced
Duration:16 hours
Training Presented in:English
Training Provided by NobleProg - IT training courses
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Statistics Level 1 Training Course
Introduction

Descriptive Statistics

Inferential Statistics

Sampling Demonstration

Variables

Percentiles

Measurement

  • Levels of Measurement
  • Measurement Demonstration
  • Basics of Data Collection

Distributions

Summation Notation
Linear Transformations
Exercises

Graphing Distributions

Qualitative Variables

Quantitative Variables

  • Stem and Leaf Displays
  • Histograms
  • Frequency Polygons
  • Box Plots
  • Box Plot Demonstration
  • Bar Charts
  • Line Graphs

Exercises

Summarizing Distributions

Central Tendency

  • What is Central Tendency 
  • Measures of Central Tendency 
  • Balance Scale Simulation 
  • Absolute Difference Simulation 
  • Squared Differences Simulation 
  • Median and Mean 
  • Mean and Median Simulation 
  • Additional Measures 
  • Comparing measures

Variability

  • Measures of Variability
  • Estimating Variance Simulation

Shape

Comparing Distributions Demo

Effects of Transformations

Variance Sum Law I

Exercises

Normal Distributions

History

Areas of Normal Distributions

Varieties of Normal Distribution Demo

Standard Normal

Normal Approximation to the Binomial

Normal Approximation Demo

Exercises

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