The number of times an observation occurs in a data is called itsa)Ran...
Explanation of Terms:
Frequency: The count of how many times a specific data point or value appears in a dataset. For example, if the number 5 appears 10 times in a dataset, the frequency of the number 5 is 10.
Range: The difference between the highest and lowest values in a dataset. For example, if the highest value is 20 and the lowest is 5, the range is 20 - 5 = 15.
Raw Data: The original, unprocessed data collected from observations or measurements before any analysis or summary is done.
Interval: In statistics, intervals are ranges of values within which data points fall. For example, if data is grouped into intervals like 10-20, 21-30, etc., each interval represents a range of values.
So, frequency is the term used to describe how many times a particular observation appears in a dataset.
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The number of times an observation occurs in a data is called itsa)Ran...
Explanation:
The number of times an observation occurs in a data is called its frequency. It is an important concept in data handling and is used to analyze and interpret data. Here is a detailed explanation of the answer:
Definition of Frequency:
In the context of data handling, frequency refers to the number of times a particular observation occurs in a given set of data. It helps us understand the distribution and occurrence of different values in the data.
Example:
Let's consider an example to understand this concept better. Suppose we have a set of data representing the number of hours students spend studying per week: 2, 3, 4, 3, 2, 5, 4, 3, 2, 4. To find the frequency of each observation, we count the number of times each value occurs. In this case, the frequency of 2 is 3, the frequency of 3 is 3, the frequency of 4 is 3, and the frequency of 5 is 1.
Significance of Frequency:
The frequency of observations helps us identify the most common or frequent values in a dataset. It provides insights into the patterns and trends present in the data. By analyzing the frequencies, we can make comparisons, identify outliers, and draw conclusions about the dataset.
Representation of Frequency:
Frequencies can be represented in various ways, such as using tally marks, tables, or graphs. One common way to represent frequency is through a frequency distribution table, which lists the different values and their corresponding frequencies.
Uses of Frequency:
The concept of frequency is widely used in statistics and data analysis. It helps in:
1. Identifying the most common values in a dataset.
2. Analyzing the spread and distribution of data.
3. Constructing graphical representations like histograms, bar graphs, and pie charts.
4. Calculating measures of central tendency and dispersion, such as mean, median, and mode.
Conclusion:
The frequency of an observation in a data set refers to the number of times that observation occurs. It is an important concept in data handling and is used to analyze and interpret data effectively. By understanding frequencies, we can gain valuable insights into the dataset and make informed decisions based on the information provided.
The number of times an observation occurs in a data is called itsa)Ran...
Frequency