16 - Data Analysis Preparing Data for Analysis a Before any...

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Data Analysis Preparing Data for Analysis a Before any type of analysis, you should look at the data to make sure it looks ok a This includes identifying if any data points are missing, if participants who were to be excluded are not in the data set, and that the numbers are all well in the range expected. a You can also look at some descriptive statistics to ensure that the data is ok Descriptive Statistics a These statistics tell you about the overall pattern of the data but cannot tell your about significant differences a Descriptive Statistics include: Mean, Median, Mode, Standard Deviation, Standard Error, and Range a By using the Mean and Standard Deviation, you can identify outliers What to do about outliers a The basic definition of an outlier is any data point that is beyond 3 standard deviations of the mean in either direction a Sometimes, researchers use 2 or 2.5 Standard Deviations to define outliers a Leaving outliers in the data set is always a choice, but they tend to skew the
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16 - Data Analysis Preparing Data for Analysis a Before any...

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