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How do you interpret frequency table in spss using? - Answers
To interpret a frequency table in SPSS, first, run the analysis by selecting "Analyze" > "Descriptive Statistics" > "Frequencies." The output will display the number of occurrences (frequency) for each category of a variable, along with percentages, cumulative frequencies, and valid percentages. Look for the most common categories, as indicated by higher frequencies, and examine the percentages to understand the distribution of responses. This helps in identifying trends and patterns within the data.
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How do you interpret frequency table in spss using? - Answers
To interpret a frequency table in SPSS, first, run the analysis by selecting "Analyze" > "Descriptive Statistics" > "Frequencies." The output will display the number of occurrences (frequency) for each category of a variable, along with percentages, cumulative frequencies, and valid percentages. Look for the most common categories, as indicated by higher frequencies, and examine the percentages to understand the distribution of responses. This helps in identifying trends and patterns within the data.
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How do you interpret frequency table in spss using? - Answers
To interpret a frequency table in SPSS, first, run the analysis by selecting "Analyze" > "Descriptive Statistics" > "Frequencies." The output will display the number of occurrences (frequency) for each category of a variable, along with percentages, cumulative frequencies, and valid percentages. Look for the most common categories, as indicated by higher frequencies, and examine the percentages to understand the distribution of responses. This helps in identifying trends and patterns within the data.
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- og:descriptionTo interpret a frequency table in SPSS, first, run the analysis by selecting "Analyze" > "Descriptive Statistics" > "Frequencies." The output will display the number of occurrences (frequency) for each category of a variable, along with percentages, cumulative frequencies, and valid percentages. Look for the most common categories, as indicated by higher frequencies, and examine the percentages to understand the distribution of responses. This helps in identifying trends and patterns within the data.
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