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BuiltWithNOF
SPSS

Mathematics & Statistic Tutor Perth - SPSS Help   

SPSS Instructions

Mean, Median, Standard Deviation, Variance etc...
(these are generated automatically in this command)

Confidence Interval other than 95% and Lower and Upper quartiles
for one (and two independent samples)

Test for  Normality with one (or two independent samples)          

One Sample T  test

Paired  Sample T-tests

Independent Two Samples T-test

Regression


One Sample T  test

Analyze
Compare Means
One-Sample T Test...
 

Move the  variable into test variable via the arrow.
Put the value of the Null  Hypothesis in as the test value ie
 

Null  Hypothesis:                m  =  24 

Alternative Hypothesis:     m  >  24 

        Test Value     24 

Please make sure you change it from  zero as it will still do the test of significance
but it will be wrong unless the value in the Null Hypothesis is zero.

 

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Test for  Normality with one (or two independent samples)

Analyze
Descriptive Statistics
Explore
Put variable into Dependent list
(If 2 independent samples put Type into factor list, and Data into Dependent list)

Plots
Click Normality with plots
Continue
OK

Look at Shapiro-Wilk Sig if this is  bigger than 0.05 then the data is normally distributed.

 

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Confidence Interval other than 95% and Lower and Upper quartiles
 for one (and two independent samples)

Analyze
Descriptive Statistics
Explore
Put variable into Dependent list
(If 2 samples put Type into factor list and Data into Dependent list)

Statistics 
Change Confidence Interval for mean to new value and tick percentiles
Continue
OK

 

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 Paired  Sample T-tests

Transform
Compute Variable
Type the word ‘ Difference’ in the Target Variable
Then Group 1 – Group 2
Continue

Now follow Test of Normality as before but with the variable ‘ Difference’

Paired  Sample T-tests

Analyze
Compare Means
Paired-Samples T Test
Move the variables into Paired Variable 1 and Variable 2
( Note the way the difference was taken back in transform and do the same order here)
OK

Another method is to use one sample t-test with the difference
One Sample T test

Analyze
Compare Means
One-Sample T Test...
Move the variable, difference into test variable via the arrow.
Put the value of the Null Hypothesis in as the test value e.g.
 

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Independent Two Samples T-test

In variable view
Name one column Data, this should be numeric
Name the other column Type or Group, this should be string,
Then in values you can put your letters and labels (you can put words such as with device)  must press add after each one.
Please make sure that you put your data in the columns correctly. 
One column should have all the data,
Second Column should be the groups


Analyze
Compare Means
Independent-Samples T Test
Move the  data variable to Test Variable
Move the group variable(Type) to Grouping Variable
Type(??) will appear,
Click Define groups
Put A (1) in Group 1
Put B (2) in Group 2 

If you want the subtraction A - B, as  SPSS will always take Group One - Group Two

Continue
 

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Regression

Put the data into two columns

Analysis
Regression
Linear

Put the y-value in the dependent (this is the one to be predicted)
Put the x-value in the independent

Save
Residuals  Unstandardised
Predicted ValueUnstandardised

For the Regression Line

Graph

Legacy Dialogs
Interactive
Scatterplot
Put the x-value horizontal    Put the y-value vertical

Fit
Method
Regression

For the Residual plot

Graph


Legacy Dialogs
Interactive
Scatterplot

Put the x-value horizontal
Put the sresid vertical

Fit
Method
Mean


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Mean, Median, Standard Deviation, Variance etc... (these are generated automatically in this command)

Analyze
Descriptive Statistics
Explore
Put variable into Dependent list
(If 2 independent samples put Type into factor list, and Data into Dependent list)

Plots

Tick or untick histogram, boxplot stem and leaf plot as required

Continue
OK

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