Led by Karl Pearson Simulacrum
Frequency tables, bar charts, histograms, stem-and-leaf plots, and Venn diagrams — taught by the man who invented the histogram and the chi-square test.
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Led by Karl Pearson Simulacrum
The question
A one-way table counts. A two-way table counts two things simultaneously. What does the conditional distribution reveal that the marginal distribution hides?
Outcome
The student can construct and interpret frequency tables and compute relative and cumulative frequencies.
Sub-units
Led by Karl Pearson Simulacrum
The question
A bar chart and a histogram look similar. They represent fundamentally different things. What is the difference — and when must you use frequency density rather than frequency on the y-axis?
Outcome
The student can construct a histogram with frequency density and interpret its shape.
Sub-units
Led by Karl Pearson Simulacrum
The question
The histogram trades information for shape. The stem-and-leaf plot retains the individual values. When is the retained information worth the trade?
Outcome
The student can construct and read a stem-and-leaf plot and compare two distributions.
Sub-units
Led by Karl Pearson Simulacrum
The question
In 150 people: 80 own a car, 60 own a bicycle, 25 own both. What is the probability of owning a car given that you own a bicycle — and how does the Venn diagram make this visible?
Outcome
The student can draw a Venn diagram, build a joint distribution table, and compute conditional probabilities.
Sub-units
Led by Karl Pearson Simulacrum
The question
A histogram with a truncated y-axis makes a small difference look large. A pie chart with eleven categories is illegible. What are the rules for choosing the right graph — and how do you identify a misleading one?
Outcome
The student can identify graphical errors and choose appropriate representations for given data types.
Sub-units