
What is the frequency of the score? In raw data 2, 3, 0, 4, 1, 2, 3, 2, 1, 2.
Answer
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Hint: In this particular problem, a set of raw data is given in that we have to find the frequency of each number in the raw data. By summing all individual frequencies, we get the total frequency score. Frequency can be calculated by the number of times a number occurred in the raw data. For example, in this raw data 2 has occurred 4 times hence its frequency would be 4. Similarly, we can find the frequency of another number hence, by adding all frequencies we get a total frequency score.
Complete step-by-step solution:
Ungrouped data is a type of problem which is given here.
Ungrouped data means data which is not grouped; it is given an individual number.
Total number of elements is 10 which is present in raw data because data which is given in the raw form is referred to as raw data.
Before making the table of the frequency distribution first of all we need to understand the concept of frequency distribution and its importance.
When the process or representation of data is more difficult if there were a large number of observations in the set. In such cases frequency distribution proves to be beneficial and make the interpretation easier.
In frequency distribution, we will be distributing the frequency which depends upon the number of times a number occurred in the raw data. By adding all the individual frequencies, we get a total frequency score.
Observations in the raw data are given as: 2, 3, 0, 4, 1, 2, 3, 2, 1, 2.
Here 0 is present only ones hence its frequency is 1, 1 is repeated twice hence its frequency is 2,
2 is repeated twice hence its frequency is 4, 3 is repeated twice hence its frequency is 2, 4 is present only once in the raw data hence its frequency is 1.
By adding all the individual frequency that is \[\Rightarrow 1+2+4+2+1=10\]
Hence, frequency score is 10.
To understand more we will represent it in the tabular form.
\[\therefore \] frequency score \[=10\].
Note: Keep in mind that frequency refers to the number of times an observation appears or occurs in raw data. As a result, it is self-evident that the frequency will increase as the number of repetitions increases. It is always advisable to draw a table of frequency distribution to understand it easily. It is critical to remember that the total number of observations in the raw data should equal the sum of frequencies. In this situation, the frequency distribution table is known as an ungrouped frequency distribution table since it considers ungrouped data and estimates the frequency of each observation one by one.
Complete step-by-step solution:
Ungrouped data is a type of problem which is given here.
Ungrouped data means data which is not grouped; it is given an individual number.
Total number of elements is 10 which is present in raw data because data which is given in the raw form is referred to as raw data.
Before making the table of the frequency distribution first of all we need to understand the concept of frequency distribution and its importance.
When the process or representation of data is more difficult if there were a large number of observations in the set. In such cases frequency distribution proves to be beneficial and make the interpretation easier.
In frequency distribution, we will be distributing the frequency which depends upon the number of times a number occurred in the raw data. By adding all the individual frequencies, we get a total frequency score.
Observations in the raw data are given as: 2, 3, 0, 4, 1, 2, 3, 2, 1, 2.
Here 0 is present only ones hence its frequency is 1, 1 is repeated twice hence its frequency is 2,
2 is repeated twice hence its frequency is 4, 3 is repeated twice hence its frequency is 2, 4 is present only once in the raw data hence its frequency is 1.
By adding all the individual frequency that is \[\Rightarrow 1+2+4+2+1=10\]
Hence, frequency score is 10.
To understand more we will represent it in the tabular form.
| Data | Frequency |
| \[0\] | \[1\] |
| \[1\] | \[2\] |
| \[2\] | \[4\] |
| \[3\] | \[2\] |
| \[4\] | \[1\] |
| Total | \[10\] |
\[\therefore \] frequency score \[=10\].
Note: Keep in mind that frequency refers to the number of times an observation appears or occurs in raw data. As a result, it is self-evident that the frequency will increase as the number of repetitions increases. It is always advisable to draw a table of frequency distribution to understand it easily. It is critical to remember that the total number of observations in the raw data should equal the sum of frequencies. In this situation, the frequency distribution table is known as an ungrouped frequency distribution table since it considers ungrouped data and estimates the frequency of each observation one by one.
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