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When to use tables. Tables are an effective way of presenting data: Table design. Examples of poor and better practice in the presentation of data in tables. Bar charts. Histograms. Pie charts. Line graphs. Scatter plots.
Discrete data is best represented using bar charts. Temperature graphs would usually be line graphs because the data is continuous. When you are graphing percentages of a distribution a pie chart would be suitable.
Keep it simple. First general, then specific. Data should answer the research questions identified earlier. Leave the process of data collection to the methods section. Always use past tense in describing results. Text, tables or graphics?
Understanding Descriptive Statistics The mean, or the average, is calculated by adding all the figures within the data set and then dividing by the number of figures within the set. For example, the sum of the following data set is 20: (2, 3, 4, 5, 6). The mean is 4 (20/5).
Descriptive statistics are used to describe or summarize data in ways that are meaningful and useful. For example, it would not be useful to know that all the participants in our example wore blue shoes. Central tendency describes the central point in a data set. Variability describes the spread of the data.
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
What is Inferential Statistics? With inferential statistics, you take data from samples and make generalizations about a population. For example, you might stand in a mall and ask a sample of 100 people if they like shopping at Sears.
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