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NameClassDate22.2 Shape, Center, and Spread Essential Question: Which measures of center and spread are appropriate for a normal distribution, and which are appropriate for a skewed distribution? Resource Overseeing
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Center shape and spread refers to statistical measures that describe the central tendency and variability of a data set, commonly represented by metrics like mean, median, mode for center shape and range, variance, standard deviation for spread.
Individuals or organizations that collect and analyze data that necessitates reporting on the center shape and spread of their findings, particularly in regulatory or financial contexts, are required to file.
Filling out center shape and spread involves collecting data, calculating the required statistical measures (like mean for center shape, standard deviation for spread), and accurately documenting these metrics in the designated forms or reports.
The purpose of center shape and spread is to summarize and describe the characteristics of a data set, allowing for easier interpretation, comparison, and decision-making based on the statistical analysis.
Information that must be reported includes the measures of central tendency (mean, median, mode) and measures of variability (range, variance, standard deviation), along with details about the data set used.
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