Introduction to Statistics using Snap
Overview
Statistics are numbers that help you
- Summarise your sample data - Summary Statistics
- Describe the distribution of your sample data - Descriptive Statistics
- Make inferences about the target population based on sample data – Inferential Statistics
This course focuses on using and interpreting Summary and Descriptive Statistics with Snap, and introduces the basic concepts of Inferential Statistics.
This includes using and interpreting Confidence Intervals, and an introduction to the significance tests available in Snap – the Z-test, T-test, U-test, and Chi-squared test.
Audience
This course has been designed for experienced Snap users who wish to learn more about the use of Summary, Descriptive and Inferential Statistics within Snap . It will enable users to design more effective surveys and interpret survey results more effectively.
Pre-requisites
The content is set at a level that does not require a high degree of numeracy and no previous knowledge of statistics is assumed. However, it is assumed that users will already have experience of creating tables and charts using Snap, and also be familiar with creating derived variables. The relevant pre-requisite material is covered on the Analysing Survey Results Level 2 course.
Course Content
Types of Data
- Category Data
- Numeric Data
- Date and Time Data
- Literal Data
Summary Statistics for Category Data
- Counts and Percentages
- Using Counts and Percentages in tables
- Using Counts and Percentages in charts
Descriptive Statistics for Numeric Data
- Measures of central value
- Mode, Median, Mean
- Measures of spread of values
- Range, Quartiles, Standard Deviation
- Measures of shape of distribution of data
- Skewness, Kurtosis
- Producing and tailoring Descriptive Statistics tables
- Displaying Descriptive Statistics in Standard tables
- Working with Mean values in Snap
Transforming Date and Time Data
- Transforming to Numeric Data
- Transforming to Category Data
Gap Analysis
- Creating derived variables for Gap Analysis
- Setting up the Gap Analysis table
- Setting up the Gap Analysis chart
Sample and Population statistics
- Target Population and Sample
- Random Samples and Biased Samples
- Sources of Sample bias
- How sample statistics vary
Confidence Intervals
- Principles of Confidence Intervals
- Confidence intervals for population percentages
- Tailoring confidence intervals
- Using confidence intervals to choose sample size
- Confidence Intervals for the mean
Significance Tests
- Principles of Significance Testing
- Comparing percentage scores (z-test)
- Comparing Mean values (t-test)
- Comparing rating scale responses (U-test)
- Relationships between variables (Chi-squared test)
Please contact us for any enquiry you may have concerning your Snap training requirements.