By Carl Erik Sarndal, et. al
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Example text
It is a question of balance. You should avoid having a very few very wide classes because they will only convey a crude impression of the distribution. On the other hand, if you have very many narrow classes you will be conveying too much detail. So, what is too few and what is too many? As a starting point, take the square root of the number of observations in the set of data. 12 there are 30 observations. 48, which we round up to 6 or down to 5 because we can only have whole numbers of classes.
30 and the airline insists that you check in two hours before take off. You estimate that it will take an hour and a half to drive to the airport and a further 20 minutes to make your way from the car park to the check-in desk. (a) What time should you start your journey to the airport? (b) The flight is scheduled to take 6 hours 45 minutes. Going through passport control and collecting your baggage should take an hour. If local time is five hours ahead of UK time, by what time should the person who is meeting you aim to be at the airport in Tashkent?
1 the socioeconomic definitions, social class A, B, C1 and so on, would be qualitative data, whereas the numbers of houses or amount of income would be quantitative data. Quantitative data is based on counting or measuring. The numerical scale used to produce the figures forms the basis of the analysis of quantitative data. 25 Stats Means Business The second important distinction to make is between the two different types of quantitative data: discrete and continuous. Discrete data is quantitative data that can take only a limited number of values because it is produced by counting in distinct or ‘discrete’ steps, or measuring against a scale made up of distinct steps.
