Assess 2006 Old Dog, Old Tricks
Exercise 3: Grouping the values of a continuous variable (Pallant 2005, pp85-87)
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Exercise 3: Grouping the values of a continuous variable (Pallant 2005, pp85-87).Task: Create 3 approximately equal-sized groups for AGEStep 1: Find the cutting points45 (Pallant 2001, pp 81-84) Open Data Editor 
Standard practice would be to check the initial frequency count first, but Pallant goes direct to optional statistics from frequencies to find her cutting points and summary statistics, and produces a frequency count almost by default. Age itself may be a continuous variable, but the variable recorded here is age last birthday. Pallant’s calculated mean is actually inaccurate: for a more accurate mean you should really add 0.5, but the cutting points remain the same, even after this adjustment. Frequencies…Statistics…
In the Percentile Values panel, click on Cut points for …. 
and enter 3 in the box for [ ] equal groups: 
NB Pallant has missed a step out here as she doesn’t show how to get the required statistics: are they automatic? No, but they’re produced in the summary table: Directory: uploads uploads -> 587 Return function, r i(X) r i(0) r i(1) r i(2) r i(3) 1 0 2 4 6 Thermal Station, I 2 0 1 5 6 3 0 3 5 6 10 uploads -> Department of science and humanities department of mathematics part-a questions and answers uploads -> The Case Against the nypd’s Quota-Driven ‘Broken Windows’ Policing What Is It? uploads -> For want of a nail uploads -> Ownership Models There are two different types of ownership models uploads -> Police Militarization uploads -> City of rising star regular meting thursday, july 14, 2016 uploads -> Township of winfield uploads -> Stop Militarizing Law Enforcement Act of 2014 uploads -> The Black Panther Party’s Ten-Point Program What We Want Now! Download 5.5 Mb. Share with your friends:
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