Introduction to Statistics
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£325 + VAT
Non-Members
£475 + VAT
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£350 + VAT
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Theory and methods to inform approaches to research.
This course enables you to:
- Understand basic methods of statistics and sampling, and how these can be used to inform and refine approaches to market research.
Learning outcomes
By the end of the course, delegates should have an understanding of the basics of:
- Sampling theory
- Sampling practice
- Summarising data
- Sampling distributions
- Standard errors and confidence intervals
- Significance testing
- Determination of sample sizes
Who will benefit?
This course will benefit researchers who wish to gain a basic understanding of the principles of statistical and sampling practice. It is also relevant to those who are looking for a refresher course on the use and interpretation of statistics and sampling.
Testimonials
This course enables you to:
- Understand basic methods of statistics and sampling, and how these can be used to inform and refine approaches to market research.
Learning outcomes
By the end of the course, delegates should have an understanding of the basics of:
- Sampling theory
- Sampling practice
- Summarising data
- Sampling distributions
- Standard errors and confidence intervals
- Significance testing
- Determination of sample sizes
Who will benefit?
This course will benefit researchers who wish to gain a basic understanding of the principles of statistical and sampling practice. It is also relevant to those who are looking for a refresher course on the use and interpretation of statistics and sampling.
Corrine Moy is a Board Member and Director of Marketing Sciences for GfK NOP. She has spent the last 15 years providing statistical advice and consultancy within the market research industry. Corrine is a regular speaker on the training and conference circuit.
Additional Information
Book now
Company Partners
Share
Company Partners
Book now
To book for someone else click here.
Date and time
Location
Members
£325 + VAT
Non-Members
£475 + VAT
Company partners
£350 + VAT
Share
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