Purpose of Statistics

Statistics serve two primary reasons. The foremost is to sum up and describe some data in the study. Second is to provide an objective cause for drawing conclusions within the data collected in the study.

Key Definitions

  • Listed here are definitions of critical terms with this particular section.
  • descriptive statistics – statistics which are familiar with describe some area of the data, such as the typical score or perhaps the variability of scores.
  • inferential statistics – record methods which are familiar with draw conclusions in regards to the populations under study using the sample data from individuals populations.
  • population – everyone, objects, or occasions that are of curiosity. Populations are frequently with different quantity of specific qualities. For example, we might be looking in the population of college students, that’s thought as everybody presently while attending college.
  • sample – a subset of people, objects, or occasions drawn in the populace. The word sample may also be utilized like a verb to suggest the whole process of drawing the sample.
  • population parameter – a descriptive statistic that’s calculated round the entire population.
  • sample statistic – a descriptive statistic that’s calculated around the sample drawn in the populace.
  • sampling procedure – the strategy which is often used to draw in a good example within the population.
  • sample size – the quantity of people within the sample that’s drawn in the populace. Typically, the uppercase letter N may be used to indicate the dpi.


The product of sampling is always to obtain a sample to show the people the sample is attracted. A good example is connected using the populace whether or not this shows the identical qualities since the population. Basically, the sample statistics are very such as the population parameters.

The simplest method of requiring a real estate agent sample is always to sample at random, meaning sampling to make sure that everyone inside the population posseses an equal chance of being tried as well as the selection of anybody individual does not alter the potential of sampling almost every other individual. Since you will learn inside the research techniques textbook, random sampling is very difficult to really execute, and research rarely is founded on true random samples within the population.

You can consider record methods as a way of drawing conclusions about population parameters according to sample statistics. Since you will learn later, sample statistics calculated on large samples frequently provide more precise estimations of population parameters than statistics calculated on small samples. Therefore, using bigger samples increases our sensitivity for the qualities of individuals, that’s a proven fact that we’re talking about in depth later.

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