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# Relative Frequency Of Outcomes Discussion

Relative frequency
Once the frequency distribution is obtained it can further be converted to a proportion by dividing the respective frequencies with the total frequency. This value so obtained is in decimal, less than 1 and more than 0. It is called relative frequency.

Thus, by definition relative frequency for any row is defined as the division of the frequency of that row by the total frequency of all the rows.

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Relative Frequency Of Outcomes Discussion
Just from $9/Page For the above example- For abstinence the number of counts is 14, divide it by 405 to get the relative frequency value for it. Similarly, for pills the relative frequency value can be: the frequency of pills 35 divided by the total number 405. Thus, relative frequency simply provides the proportion of each category. It tells about the share of each category in the entire dataset. RF(A)=\frac{F(A)}{TF}RF(A)= TF F(A) â€‹ Here: RF(A) denotes the relative frequency for category A F(A) denotes the frequency for category A TF denotes the sum of frequencies of all the categories Presentation of relative frequency The data provided the relative frequency can be displayed with help of following charts: Â· Bar charts- Bar charts can be used to display frequency as well as relative frequency with the x-axis showing the categories and the y-axis showing the frequency or relative frequency for it. Â· Line graph- the dots for each of the relative frequencies can be connected on the graph by a line to plot a line graph. This is generally used for cumulative relative frequencies. Â· Pie charts- If the relative frequency is converted to percent, it can be best represented with help of pie charts. These charts and tables are very important in interpreting the dataset Â· It tells which category or which row is more popular. Â· Relative frequency can be used to present categorical and numerical data both. Â· It can also be used for grouped and ungrouped dataset. Â· If all the rows have same frequency or relative frequency it is considered to have uniform distribution. ## Get Professional Assignment Help Cheaply Are you busy and do not have time to handle your assignment? Are you scared that your paper will not make the grade? Do you have responsibilities that may hinder you from turning in your assignment on time? Are you tired and can barely handle your assignment? 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