The normal distribution features a bell-shaped curve, equal mean, median, and mode, and follows the 68-95-99.7 rule. Student test scores are an example of normally distributed data, while household incomes are an example of non-normally distributed data.
Student Test Scores: Test scores of a large group of students are typically normally distributed as intelligence, study habits, and other factors contribute to a bell curve distribution of scores.
Household Incomes: Household incomes are not normally distributed due to factors like income inequality leading to a skewed distribution.
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