- #1
kelvin macks said:
haruspex said:
kelvin macks said:
Was I not clear? There is no way to calculate it from the given information. You could estimate it, by the method I described.kelvin macks said:
A frequency distribution is a table or graph that shows the number of times each value or range of values occurs in a dataset. It is used to summarize and organize large amounts of data in a meaningful way.
To create a frequency distribution, you first need to determine the range of values in your dataset. Then, divide the range into equal intervals or classes. Next, count the number of times each value falls within each class and record it in a table. Finally, display the data in a histogram or bar graph.
The purpose of a frequency distribution is to summarize and present data in a clear and organized manner. It allows us to understand the patterns and distribution of values in a dataset, making it easier to analyze and interpret the data.
To interpret a frequency distribution, you need to look at the shape of the distribution, the central tendency (mean, median, mode), and the variability of the data. You can also use measures such as standard deviation and percentiles to further understand the data.
An ungrouped frequency distribution displays the exact values of the dataset, while a grouped frequency distribution classifies the values into intervals or classes. Grouped frequency distributions are useful when dealing with large datasets, as they make it easier to see patterns and identify outliers.
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