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Calculating Relative Frequency
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- Understanding Relative Frequency
- Relative frequency shows proportion of times a value appears in data set
- It's calculated by dividing occurrences by total outcomes
- Data collection should be organized in manageable groups
- Data Preparation
- Collect data in groups like age ranges or temperature measurements
- Sort data from lowest to highest value
- Create frequency table with three columns: x, n(x), P(x)
- Calculation Process
- Determine total number of data points in set
- Calculate relative frequency for each data point
- Round results to two decimal places
- Reporting
- Include all values in table, even if gaps exist
- Report zero frequencies as meaningful
- Convert decimal results to percentages by shifting decimal point
- Sum of relative frequencies should equal 1.0