... 2: Random Sample of 20 Car Users Cases MPG HORSEPOWER SERVICE INT. PRICE 1 24.00 118.00 8000.00 15000.00 2 26.00 120.00 10000.00 18000.00 3 22.00 135.00 8000.00 16000.00 4 28.00 120.00 10000.00 17000.00 5 24.00 125.00 12000.00 18000.00 6 25.00 130.00 8000.00 18000.00 7 29.00 136.00 10000.00 20000.00 8 30.00 135.00 8000.00 22000.00 9 25.00 140.00 12000.00 24000.00 10 24.00 135.00 10000.00 23000.00 11 26.00 120.00 10000.00 18000.00 12 24.00 118.00 8000.00 15000.00 13 24.00 125.00 12000.00 18000.00 14 25.00 130.00 8000.00 18000.00 15 22.00 135.00 8000.00 16000.00 16 30.00 135.00 8000.00 22000.00 17 29.00 136.00 10000.00 20000.00 18 25.00 140.00 12000.00 24000.00 19 24.00 135.00 10000.00 23000.00 20 28.00 120.00 10000.00 17000.00 3 Description of Data In order to identify which descriptive analytical tools to use I must identify the type of data being analysed. The data is Univariate as is a single set of data. This then gives way to the question what is the scale level of the variable. There are 3 possible routes here :> Nominal - Categorised data> Ordinal - Ranked data> Interval - collected with random answer The data in this case is collected in interval mode as replies not categorised or given in rank but actual answers given randomly dependent on preference. Therefore using the flow chart below it can be seen that in order to do a descriptive analysis of data using interval method must first calculate mean and standard deviation then carry out either a z or t test. Interval Nominal Ordinal 1. Descriptive a. Central Tendency b. Dispersion 2. Inferential The table below ...

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