To compare you find characteristics that are common to both.
To contrast you list characteristics that are present in one but not in the other.
frequency table
graphs are to compare and contrast data
First, you need a frequency table.
The frequency in a frequency table is the number of occurrences within each class width. The total frequency is the sum of all frequency's within all the classes.
Mathematics frequency table is a graph that is used for data value. This makes it easier for things to be graded.
frequency table
graphs are to compare and contrast data
they are pretty much the same rules but table tennis is played on a table and tennis is played on an outdoor court
the table
To determine which histogram correctly represents the data from a frequency table, you need to compare the frequencies of each category in the table to the heights of the bars in the histogram. Each bar should accurately reflect the frequency for its corresponding category. Look for the histogram that has the same distribution and relative heights as indicated in the frequency table. If you have specific data or histograms to analyze, please provide them for a more detailed comparison.
parts of frequency table
First, you need a frequency table.
General rules of constructing Frequency table General rules of constructing Frequency table
How to design a table comapare and contrast the characteristic of 5-7 different culutral group norm and values.
The frequency in a frequency table is the number of occurrences within each class width. The total frequency is the sum of all frequency's within all the classes.
A frequency table is a table that shows in numbers how many items are in several categories.
To compare two-way frequencies in a relative frequency table, you first convert the counts in the table into relative frequencies by dividing each cell by the total number of observations. This allows you to express the frequencies as proportions, making it easier to compare different categories across the two variables. You can then analyze patterns, such as which combinations of categories are more or less common, by examining the relative frequencies rather than absolute counts. This approach helps highlight relationships and trends in the data.