Understanding Frequency and Relative Frequency

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What is frequency in statistics?

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Frequency refers to the number of times a particular value or category occurs in a dataset.

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What is relative frequency?

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Relative frequency is the ratio of the frequency of a particular value to the total number of observations, often expressed as a percentage.

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How do you calculate relative frequency?

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Relative frequency = (Frequency of the category / Total number of observations) x 100%.

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What does a frequency table represent?

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A frequency table organizes data to show how often each value or category occurs.

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What is the purpose of using percentages in data representation?

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Percentages help to compare different categories on a common scale, making it easier to understand proportions.

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If 15 out of 100 students prefer math, what is the relative frequency of students who prefer math?

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Relative frequency = (15/100) x 100% = 15%.

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What is the significance of the term 'marginal' in data analysis?

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'Marginal' refers to the additional or extra data points that provide insight into a specific category or outcome.

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How can you interpret a relative frequency of 27% for students who skip breakfast?

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A relative frequency of 27% indicates that 27 out of every 100 students surveyed skip breakfast.

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What is the difference between frequency and relative frequency?

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Frequency counts the number of occurrences, while relative frequency expresses that count as a proportion of the total.

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What does a frequency distribution show?

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A frequency distribution shows how data is distributed across different categories or intervals.