◆ Example2 VARIABLE Customer's Age Household Income(E per annum) Estimated monthly outgoing on mortgage/rent/rates/utilities/credit card payments etc. Does the customer own their own house? Coded 0=Yes, 1=No The Region in which the customer is resident Coded South west 2 South east London Midland North The amount borrowed on credit o Population: the set of all customers
Example 2 Population: the set of all customers
A sensible initial set of questions is Do you understand exactly what each variable is measuring/recording Do you understand the problem under investigation and are the objectives of the investigation clear
A sensible initial set of questions is: – Do you understand exactly what each variable is measuring/recording? – Do you understand the problem under investigation and are the objectives of the investigation clear.?
14.3 DESCRIBING VARIABLES Classification of variable types Attribute variables Measured variables
14.3 DESCRIBING VARIABLES Classification of variable types – Attribute variables – Measured variables
Attribute Variables: An attribute variable has its outcomes described in terms of its characteristics or attributes Example 1 By-Election Data Attiute arable Outcome nder or fema 「W则m
Attribute Variables: – An attribute variable has its outcomes described in terms of its characteristics or attributes. – Example 1 'By-Election Data':
Example 2 'Credit Data Does the customer own their own house? 0=Yes 1=No The Region in which the customer is resident? South West 2--South east 3--London 4--Midland 5— North Handling attribute data is to give it a numerical codeo.. 2
– Example 2 'Credit Data' • Does the customer own their own house? – 0=Yes 1=No • The Region in which the customer is resident? – 1—South West – 2—South East – 3—London – 4—Midland – 5—North • Handling attribute data is to give it a numerical code 0, 1, 2 ,…