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Marginal frequencies are the values for every subcategory in a two-way frequency table.
Marginal frequencies are the values for every subcategory in a two-way frequency table.
False
Marginal frequencies are only used in one-way frequency tables.
Marginal frequencies are only used in one-way frequency tables.
False
Marginal frequencies represent the totals for each category in a two-way frequency table.
Marginal frequencies represent the totals for each category in a two-way frequency table.
True
A relative frequency is the sum of the number of observations in a category and the total number of observations.
A relative frequency is the sum of the number of observations in a category and the total number of observations.
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Relative frequency is calculated by dividing the number of observations in a category by the total number of observations.
Relative frequency is calculated by dividing the number of observations in a category by the total number of observations.
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Relative frequency is used to represent the ratio of the number of observations in each category to the total number of observations.
Relative frequency is used to represent the ratio of the number of observations in each category to the total number of observations.
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In a negatively skewed distribution, there are fewer data on the left.
In a negatively skewed distribution, there are fewer data on the left.
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A relative frequency represents the ratio of the number of observations in each category to the total number of observations.
A relative frequency represents the ratio of the number of observations in each category to the total number of observations.
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Marginal frequencies are only used in one-way frequency tables.
Marginal frequencies are only used in one-way frequency tables.
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