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Transformations of data sets
Recognize how adding a constant to each data point and multiplying each data point by a constant affects the mean and standard deviation.
6
Objectives
60
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42
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90 min
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CambridgeIGCSEStatisticsTransformations of data sets
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Transformations of data sets outcomes6 objectives
- Recognize how adding a constant to each data point and multiplying each data point by a constant affects the mean and standard deviation.
- Recognize how adding a constant to each data point and multiplying each data point by a constant affects the median and interquartile range.
- Understand how introducing new values or removing existing values from a distribution affects a statistical measure, such as whether the median increases, decreases, or remains unchanged.
- Calculate the mean and standard deviation of a data set, including finding the mean of a second data set formed by combining two data sets with known means and standard deviations.
- Utilize means and standard deviations of distributions to scale data values for comparison and interpretation, including standardizing data to a mean of 0 and a standard deviation of 1.
- Compare distributions by examining measures of central tendency and dispersion, such as identifying which distribution has higher values or is more consistent based on known means and standard deviations.
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