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DOE for Chemistry
·
Module 1
Foundations: Summarizing and Visualizing Chemical Data
1
Choosing and Using Central Tendency Measures
Select and interpret appropriate measures of central tendency (mean, median, mode) based on data characteristics.
2
Understanding Data Spread: Range, Variance, and Standard Deviation
Calculate and interpret measures of dispersion (range, variance, standard deviation) for experimental data.
3
Visualizing Data Distributions with Histograms and Box Plots
Construct and interpret histograms and box plots for visualizing data distributions.
4
Identifying Outliers with Box Plots and the IQR
Identify potential outliers in analytical data using box plots and the IQR rule.
Detecting and Handling Outliers with Grubb's Test
Apply Grubb's test to statistically confirm and handle outliers in a dataset.
6
Estimating Population Parameters: The Role of Sampling
Explain the role of sampling in estimating population parameters from experimental data.
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