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Socialisation in Nursing]

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2. Descriptive Statistics

Once the Data collection process has been completed the researcher must then try to make sense of the information collected. The data at this stage will be in its raw form and will generally not be suitable for presentation or interpretation

The purpose of descriptive statistics, as the name suggests, is to describe a set of data. They are used to provide manageable summaries of data sets.

They are the simplest and most widely used set of statistics and in many data analysis projects they will provide all the information required.

There are many techniques available for describing a set of data.
In this course we will look at three groups of univariate statistics, namely i) Frequency Distributions (ii) Measures of Central Tendency (iii) Measures of Dispersion
We will also examine three bivariate techniques i) Crosstabs (ii) Tables of Means (iii) Correlation

2.1 Frequency Distributions

- The frequency of a variable value is the number of times that value occurs in a set of data
- A frequency distribution is simply a table of frequencies for all possible values of the variable.
- They are relatively simple to construct and interpret; yet they still provide a very powerful tool for examining data.

Example 2.1

2.1 Frequency Distribution of the number of cars owned by 500 households

|Number of Cars |Frequency |
|0 |70 |
|1 |210 |
|2 |120 |
|3 |70 |
|4 |30 |
|Total |500 |

- They can also be extended to include

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