Question

Give a short description about this dataset. Is this primary or secondary data? What types of variable(s) is involved? Explain briefly what the possible cases are used in this study.

Address	Suburb	Postcode	Brand	FuelCode	Price
203 Burns Bay Road, Lane Cove NSW 2066	Lane Cove	2066	7-Eleven	E10	99.9
503 Lake Road, Argenton NSW 2284	Argenton	2284	7-Eleven	P95	140.9
1285-1289 Canterbury Rd Cnr Duncan, Punchbowl NSW 2196	Punchbowl	2196	Caltex	P95	121.6
Cnr Epping & Balaclava Road, Marsfield NSW 2122	Marsfield	2122	Caltex Woolworths	E10	100.4
Lot 16 - 25 Great Western Highway, Eastern Creek NSW 2766	Eastern Creek	2766	7-Eleven	U91	116.9
48-56 Gardeners Road, Kingsford NSW 2032	Kingsford	2032	Coles Express	P98	150.9
3 Bells Line Of Road, North Richmond NSW 2754	North Richmond	2754	BP	P98	133.9
400 Lane Cove Road, North Ryde NSW 2113	North Ryde	2113	7-Eleven	P98	120.9
4 Lancaster St, Ingleburn NSW 2565	Ingleburn	2565	Caltex	PDL	114.7
464 Cabramatta Road West, Mount Pritchard NSW 2170	Mount Pritchard	2170	7-Eleven	P95	129.9

Answer 1

The data set represents individuals as cases whose various information like address , the suburb to which they belong to and the postal code of their area. The fourth column describes the petrol stations they prefer to go and fifth column represents the type of fuel these individuals like the most. and the last column is the price each one spends for the fuel.

This data is a primary data set as they are raw in nature and can not be interpreted when kept it as such.

Address, suburb, fuel code and Brand are nominal variables where as post code is again categorical but can be ordered so it an ordinal variable. price is a numerical and continuous variable.

Each row of the data set represent a case. The possible cases can be either companies or individuals whose addresses form the first three columns and their fuel preferences in the 4 th and 5th columns and the price they pay for the fuel they use.