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Normal distribution & bivariate data analysis

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This PowerPoint explains the normal distribution, its properties, and applications in statistics. It covers standard deviation, mean, and probability calculations under the bell curve. Additionally, it includes an introduction to bivariate data analysis, correlation, regression, and scatter plots. The presentation contains graphs, formulas, and real-world examples to illustrate statistical concepts.

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NORMAL
DISTRIBUTION &
BIVARIATE DATA
ANALYSIS

,OUTLIERS
An outlier is a score that is separated from the majority of data.
It can be difficult to decide whether or not a score should be
classified as an outlier.
Outliers have little effect on the mean, median and mode for large
sets of data. However, in small data sets, the presence of an outlier
will have a large effect on the mean, a smaller effect on the median
and usually no effect on the mode.


Criteria to determine an outlier:

,EXAMPLE
What is the outlier in Task A?




Lower limit
Upper limit

, STANDARD DEVIATION
The standard deviation is a measure of the spread of the scores
about the mean. The larger the standard deviation, the more widely
spread are the scores from the mean. The smaller the standard
deviation, the more bunched up are the scores about the mean.




Or use th
calculato

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