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Block 4: Hypothesis testing
[ NB: Tutorials date from 1991-92 and await conversion and updating from SPSS-X 4 on a Vax mainframe to SPSS for Windows on a PC, and from WordStar 4 in Courier 12 to Arial 11-pt.]
The mathematics of this section is covered in the accompanying Statistical notes written by Jim Ring for the original course and aimed at students with little or no background in mathematics or statistics. There is no shortage of literature or other materials out there, so for now you are referred to the recommended textbooks and to the appropriate sections of the on-line introductions and tutorials for SPSS by others.
My own materials will attempt to explain, in non-mathematical language, what the research question is, what the statistical techniques are and why they are used. There will be very few, if any, equations except when they are built up from graphic explanations of what the elements of the equations are and how and why they are calculated.
Block 4: Hypothesis testing [Provisional contents, not necessarily in this order]
4.1 Hypothesis testing
4.2 Two means (t-test)
4.3 Three means (one way anova)
4.4 Chi-square (for contingency tables)
4.5 Regression and correlation
4.6 Association, structure and cause (modelling)
The mathematics of this section is covered in the accompanying Statistical notes written by Jim Ring for the original course and aimed at students with little or no background in mathematics or statistics. There is no shortage of literature or other materials out there, so for now you are referred to the recommended textbooks and to the appropriate sections of the on-line introductions and tutorials for SPSS by others.
My own materials will attempt to explain, in non-mathematical language, what the research question is, what the statistical techniques are and why they are used. There will be very few, if any, equations except when they are built up from graphic explanations of what the elements of the equations are and how and why they are calculated.
Block 4: Hypothesis testing [Provisional contents, not necessarily in this order]
4.1 Hypothesis testing
4.2 Two means (t-test)
4.3 Three means (one way anova)
4.4 Chi-square (for contingency tables)
4.5 Regression and correlation
4.6 Association, structure and cause (modelling)
