Frequency Tables

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What is a frequency table?

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A frequency table is a way to organize data that shows how often each value occurs in a dataset.

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How do you determine the mode from a frequency table?

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The mode is the value that appears most frequently in the dataset, which can be identified from the highest frequency in the table.

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What is the purpose of organizing data into a frequency table?

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Organizing data into a frequency table helps to summarize and analyze the data, making it easier to identify patterns and trends.

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What information can you extract from a frequency table?

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You can extract information such as the most common values, total counts, and comparisons between different categories.

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How do you calculate the total number of votes from a frequency table?

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To calculate the total number of votes, sum the frequencies of all the categories listed in the table.

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What does it mean if a frequency table shows a tie in votes?

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A tie in votes means that two or more categories have the same highest frequency, indicating equal popularity.

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How can you use a frequency table to compare two categories?

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You can compare two categories by looking at their frequencies and determining which has a higher count or how many more votes one has over the other.

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What is the difference between qualitative and quantitative data in frequency tables?

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Qualitative data represents categories or qualities (e.g., types of snacks), while quantitative data represents numerical values (e.g., number of votes).

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How do you interpret the results of a survey using a frequency table?

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Interpreting results involves analyzing the frequencies to understand preferences, trends, and the overall distribution of responses.

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What is the significance of the cumulative frequency in a frequency table?

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Cumulative frequency shows the total number of observations that fall below a particular value, helping to understand the distribution of data.