Statistics for Researchers Training Course

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Course Language

This course is delivered in Polish or English.

Course Code

statsre

Duration Duration

35 hours (usually 5 days including breaks)

Requirements Requirements

Solid understanding of descriptive statistics (mean, average, standard deviation, variance) and basic understanding of probability is required.

You may want to participate in preparation course: www.nobleprog.co.uk/training/statistics-level-1

Overview Overview

This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.

Course Outline Course Outline

Scientific Method, Probability & Statistics

  • Very short history of statistics
  • Why can be "confident" about the conclusions
  • Probability and decision making

Preparation for research (deciding "what" and "how")

  • The big picture: research is a part of a process with inputs and outputs
  • Gathering data
  • Questioners and measurement
  • What to measure
  • Observational Studies
  • Design of Experiments
  • Analysis of Data and Graphical Methods
  • Research Skills and Techniques
  • Research Management

Describing Bivariate Data

  • Introduction to Bivariate Data
  • Values of the Pearson Correlation
  • Guessing Correlations Simulation
  • Properties of Pearson's r
  • Computing Pearson's r
  • Restriction of Range Demo
  • Variance Sum Law II
  • Exercises

Probability

  • Introduction
  • Basic Concepts
  • Conditional Probability Demo
  • Gamblers Fallacy Simulation
  • Birthday Demonstration
  • Binomial Distribution
  • Binomial Demonstration
  • Base Rates
  • Bayes' Theorem Demonstration
  • Monty Hall Problem Demonstration
  • Exercises

Normal Distributions

  • Introduction
  • History
  • Areas of Normal Distributions
  • Varieties of Normal Distribution Demo
  • Standard Normal
  • Normal Approximation to the Binomial
  • Normal Approximation Demo
  • Exercises

Sampling Distributions

  • Introduction
  • Basic Demo
  • Sample Size Demo
  • Central Limit Theorem Demo
  • Sampling Distribution of the Mean
  • Sampling Distribution of Difference Between Means
  • Sampling Distribution of Pearson's r
  • Sampling Distribution of a Proportion
  • Exercises

Estimation

  • Introduction
  • Degrees of Freedom
  • Characteristics of Estimators
  • Bias and Variability Simulation
  • Confidence Intervals
  • Exercises

Logic of Hypothesis Testing

  • Introduction
  • Significance Testing
  • Type I and Type II Errors
  • One- and Two-Tailed Tests
  • Interpreting Significant Results
  • Interpreting Non-Significant Results
  • Steps in Hypothesis Testing
  • Significance Testing and Confidence Intervals
  • Misconceptions
  • Exercises

Testing Means

  • Single Mean
  • t Distribution Demo
  • Difference between Two Means (Independent Groups)
  • Robustness Simulation
  • All Pairwise Comparisons Among Means
  • Specific Comparisons
  • Difference between Two Means (Correlated Pairs)
  • Correlated t Simulation
  • Specific Comparisons (Correlated Observations)
  • Pairwise Comparisons (Correlated Observations)
  • Exercises

Power

  • Introduction
  • Example Calculations
  • Factors Affecting Power
  • Exercises

Prediction

  • Introduction to Simple Linear Regression
  • Linear Fit Demo
  • Partitioning Sums of Squares
  • Standard Error of the Estimate
  • Prediction Line Demo
  • Inferential Statistics for b and r
  • Exercises

ANOVA

  • Introduction
  • ANOVA Designs
  • One-Factor ANOVA (Between-Subjects)
  • One-Way Demo
  • Multi-Factor ANOVA (Between-Subjects)
  • Unequal Sample Sizes
  • Tests Supplementing ANOVA
  • Within-Subjects ANOVA
  • Power of Within-Subjects Designs Demo
  • Exercises

Chi Square

  • Chi Square Distribution
  • One-Way Tables
  • Testing Distributions Demo
  • Contingency Tables
  • 2 x 2 Table Simulation
  • Exercises

Case Studies

Analysis of selected case studies


Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 4207PLN
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Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
From 4207PLN
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Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 9300PLN
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SelfStudy SelfStudy
Self-study courses allow you to learn at your own pace on your own time. There is no live instructor involved. The participants use recorded video, quizzes and reading at their own convenience.
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The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Classroom Private Remote
1 4207PLN 4207PLN 9300PLN
2 3604PLN 3504PLN 6050PLN
3 3402PLN 3269PLN 4967PLN
4 3302PLN 3152PLN 4425PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
Olsztyn, ul. Kajki 3/1Mon, 2016-07-11 09:004425PLN / 3269PLN
KrakówMon, 2016-07-11 09:004425PLN / 3469PLN
Warszawa, ul. Złota 3/11Mon, 2016-07-18 09:004425PLN / 3185PLN
RzeszówMon, 2016-07-25 09:004425PLN / 3402PLN
Wrocław, ul.Ludwika Rydygiera 2a/22Mon, 2016-07-25 09:004425PLN / 3185PLN

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