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The following steps are required when organizing data into a frequency distribution.
• Identify the highest and lowest values of the observations

• Setup classes (groups into which data is divided).

• Add up the number of observations and assign each observation to its class.

• [...]
Count the number of observations in each class.

Tags
Question
The following steps are required when organizing data into a frequency distribution.
• Identify the highest and lowest values of the observations

• Setup classes (groups into which data is divided).

• Add up the number of observations and assign each observation to its class.

• [...]
?

Tags
Question
The following steps are required when organizing data into a frequency distribution.
• Identify the highest and lowest values of the observations

• Setup classes (groups into which data is divided).

• Add up the number of observations and assign each observation to its class.

• [...]
Count the number of observations in each class.
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The following steps are required when organizing data into a frequency distribution together with suggestions on constructing the frequency distribution. Identify the highest and lowest values of the observations. Setup classes (groups into which data is divided). The classes must be mutually exclusive and of equal size. Add up the number of observations and assign

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Subject 3. Frequency Distributions
by the total number of observations. Cumulative absolute frequency and cumulative relative frequency are the results from cumulating the absolute and relative frequencies as we move from the first to the last interval. <span>The following steps are required when organizing data into a frequency distribution together with suggestions on constructing the frequency distribution. Identify the highest and lowest values of the observations. Setup classes (groups into which data is divided). The classes must be mutually exclusive and of equal size. Add up the number of observations and assign each observation to its class. Count the number of observations in each class. This is called the class frequency. Data can be divided into two types: discrete and continuous. Discrete: The values in the data set can be counted. There are distinct spaces between the values, such as

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