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TYPES OF SERIES AND FREQUENCY DISTRIBUTION

Broadly speaking, the statistical series are of two types viz.

(i) Time series and

(ii) Frequency series.

 Time Series

A series of data that is arranged chronologically, or in relation to time is called a Time Series. The following is an example of a Time Series.

Example:

Statistical series, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Frequency Series

A series of data that is formed along with the frequencies of their occurrences is called a frequency series. A frequency series is again, of three types viz.

1. Individual series 
2. Discrete series, and    
3. Continuous series.

Individual Series

An individual series is one in which each value of the variable occurs for only once. In other words, the frequency of occurrence of all the values in such a series is only one. As such, essentially such series are displayed without the frequency column. The following are the examples of individual series.

Example1                  Example2     Example 3

Statistical series, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

An individual series may be arranged either in ascending, or in descending, or in any other orders as it would suit the desired analysis. In the examples 1 above, the series has been arranged in ascending order, while in the example 3 above, the series has been arranged in order of the roll numbers of the students.

Array

When an individual series is arranged in some order i.e., ascending, or descending order, it is called an array.

Discrete Series

A discrete series is one in which the different values of a variable are shown in a discontinuous manner along with their respective frequencies and at least one of the values has a frequency of more than one. Such a series can also be arranged either in ascending, or in descending order.

The following are the examples of discrete series.

Statistical series, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com

Continuous Series 

A continuous series is one which the different values of the variables are stated in a continuous manner along with their respective frequencies. Such series can be arranyed either in ascending, or in descending order. Further, such series can be stated either in the form exclusive, or in the from of inclusive class intervals along with their respective class frequencies. Furthermore, such series can also be presented either in non-cumulative, or in cumulative from (Less than, or more than) along with their respective frequencies.

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FAQs on Statistical series, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

1. What are statistical series?
Ans. Statistical series refer to a collection of data or observations that are organized and presented in a systematic manner. These series can be represented in the form of tables, graphs, or charts to facilitate analysis and interpretation. Statistical series are used in various fields, including business, economics, finance, and social sciences, to study patterns, trends, and relationships within the data.
2. How are statistical series useful in business mathematics and statistics?
Ans. Statistical series play a crucial role in business mathematics and statistics. They provide a foundation for analyzing and understanding business data, such as sales figures, market research data, financial statements, and customer feedback. By organizing and summarizing data in statistical series, businesses can identify trends, make informed decisions, and evaluate the effectiveness of their strategies. Additionally, statistical series help in forecasting future performance and assessing risks.
3. What are the measures of central tendency used in statistical series analysis?
Ans. Measures of central tendency are statistical measures that represent the center or average value of a distribution. In statistical series analysis, commonly used measures of central tendency include the mean, median, and mode. The mean is calculated by summing up all the values and dividing by the number of observations. The median is the middle value when the data is arranged in ascending or descending order, and the mode is the value that appears most frequently in the data.
4. How can statistical series be used to identify outliers in business data?
Ans. Outliers are extreme values that deviate significantly from the rest of the data. Statistical series can be used to identify outliers by examining the spread or dispersion of the data. Measures such as the range, standard deviation, and interquartile range can help determine the typical range of values in a dataset. Any value that falls significantly outside this range can be considered an outlier. Identifying outliers in business data is important as they may indicate errors, anomalies, or exceptional events that require further investigation.
5. Can statistical series be used to compare data from different time periods in business analysis?
Ans. Yes, statistical series can be used to compare data from different time periods in business analysis. By organizing data into statistical series, businesses can easily compare and analyze trends and patterns over time. Time series analysis is a common technique used to study data collected at regular intervals, such as monthly sales figures or annual financial statements. By comparing statistical measures such as the mean, median, or growth rates between different time periods, businesses can identify changes, seasonality, and long-term trends that may impact their decision-making.
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