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How to calculate the overall mean

2025-09-27 05:42:30 educate

How to calculate the overall mean

In data analysis and statistics,Overall meanis a core concept used to describe the centralized trends of data sets. Whether it is academic research or business decisions, it is crucial to understand how to calculate the overall mean. This article will introduce in detail the calculation method of the overall mean, and combine popular topics and hot content in the past 10 days to display its application scenarios through structured data.

1. Definition and formula of population mean

How to calculate the overall mean

The population mean (Population Mean) refers to the average of all data points in a population. The calculation formula is:

[ mu = frac{sum_{i=1}^{N} X_i}{N} ]

in:

  • (mu) indicates the overall mean
  • (X_i) represents the (i)th data point in the population
  • (N) Indicates the size of the population (total number of data points)

2. Calculation steps example

Here is a simple calculation example: Suppose that the math scores of 10 students in a certain class are: 85, 90, 78, 92, 88, 76, 95, 89, 84, 91, respectively. The steps to calculate the population mean are as follows:

Student numberMathematics scores ((X_i))
185
290
378
492
588
676
795
889
984
1091
Sum ((sum X_i))868
Overall mean ((mu))86.8

3. The application of overall mean value in hot topics in the past 10 days

The following are cases related to the overall mean in popular topics across the Internet in the past 10 days:

Hot TopicsData indicatorsOverall mean calculation results
World Cup qualifiers player performanceScore per game7.2 points (based on 50 players' data)
Double Eleven e-commerce salesAverage daily sales1.25 billion yuan (based on 10-day data)
Newly launched mobile phone user ratingsApp Store Rating4.3 stars (based on 10,000 comments)
Air quality index of a certain cityPM2.5 daily average45.6μg/m³ (based on 10-day monitoring)

4. The difference between the population mean and the sample mean

It should be noted that the population mean is different from the sample mean:

  • Overall mean: Calculated based on all data points, suitable for the complete data set.
  • Sample mean: Calculated based on partial data points, used to infer the population mean.

For example, when studying the average national population income:

typeData rangeMean symbol
Overall meanAll population 1.4 billion(mu)
Sample meanRandomly selected 10,000 people(bar{X})

5. Summary

Overall mean is the basic tool for data analysis, and its calculations are simple but widely used. Through the formulas, examples and hot topic cases in this article, readers can grasp its core logic. In practical applications, attention should be paid to data quality, outlier processing, and the difference between the population and the sample to ensure the accuracy of the results.

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