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Chapter 7 - Analysing the Data Part IV - Analysis of Variance Chapter 1 - Behavioural Science and research Chapter 2 - Research Design Chapter 3 - Collecting the Data Chapter 4 - Analysing the Data Part I - Descriptive Statistics Chapter 5 - Analysing the Data Part II - Inferential Statistics Chapter 6 - Analysing the Data Part III - Common Statistical Tests Probability Sampling distributions Steps in hypothesis testing Type I and Type II decision errors Power Bonferroni Confidence Intervals Readings and links

 

Chapter 5: Analysing the Data
Part II : Inferential Statistics

 

Hypothesis testing

We are now moving beyond data description and summary to being able to make probability-type statements about the values of statistics. Generally speaking, statistical inference is concerned with using sample statistics to estimate the likely values of population parameters.

There are several statistics we use to estimate various kinds of population parameters. For instance:

Statistic

Estimates

Population Parameter

Mean

x bar

estimates

µ

[Population mean]

Standard Deviation

s (or sd)

estimates

sigma

[Population standard deviation]

Correlation

r

estimates

rho symbol

[Population correlation coefficient]

Regression Coefficient

b

estimates

beta

[Population regression slope]

 

 

 

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