Understanding Percentiles: Unlocking Insights from Statistical Comparisons
Shiva Shankar Moogi
Data Science Intern at AI Aware with expertise in Data Science
Welcome to "Understanding Percentiles: Unlocking Insights from Statistical Comparisons," a journey into the fascinating world of percentiles. In this blog, we will embark on an exploration of this statistical concept, uncovering its significance and practical applications in various domains.?
Using Percentiles, you may estimate the percentages of the data that should fall above and below a certain value. For Instance, A 99 percentile result on an exam indicates that the test taker outperformed 99 percent of the other participants.
It provides information about how a specific datapoint compares to other datapoints in terms of its distribution.
It will tell us very clearly in a percentage manner and it would be very easy for stakeholders to understand what's happening in their business. If we want to analyze how much percentage you got in your class, we can compare with other classmates that you are in which position in your class. If we want analyze our heights in a class as well, It would be very easy to analyze it.
In Simple Words, You will know how what you are doing in that Particular time. If you got 75% marks, it means you did better than 75% of your classmates and 25% of your classmates got high marks when it compares to you. You Can analyze your weight and height when comparing with Same people.
Let's Calculate Percentile :
Let's say you and your classmates took a math test, and the scores were as follows:
70, 75, 80,?85, 90, 92, 95, 97, 98, 100
Now, let's calculate the percentile for your score, which is 85.?
1. First, we arrange the scores in ascending order:?
70, 75, 80, 85, 90, 92, 95, 97, 98, 100
2. Next, we determine the position of your score in the list. Your score is the 4th score in the list.
3. To calculate the percentile, we use the formula: (Number of scores below your score / Total number of scores) x 100
In this case, there are 3 scores below 85, and a total of 10 scores.
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(3/10) x 100 = 30
Therefore, your score of 85 falls within the 30th percentile. It means that you performed better than 30% of your classmates who took the test.?
It is also important to remember the associated terms.
Percentiles are a way to divide data into groups or parts to understand how things are spread out. There are a few important percentiles that give us useful information about the data.
The median is like the middle point of the data. If you line up all the numbers from smallest to largest, the median is the number right in the middle. It divides the data into two equal halves, so half the numbers are below the median and half are above.
Quartiles are like dividing the data into four equal parts. The lower quartile, or 25th percentile, is the point where one-fourth of the data is below it. The upper quartile, or 75th percentile, is where three-fourths of the data is below it. The range between the lower and upper quartiles shows where most of the numbers fall.
Deciles divide the data into ten equal parts. Each decile represents a point where 10% of the data is below it. Deciles help us see how the data is spread out in smaller groups.
Percentiles are like deciles, but they divide the data into 100 equal parts. Each percentile represents a point where 1% of the data is below it. Percentiles give us a more detailed view of how the data is distributed across a wider range.
By using these different percentiles, we can understand how the data is spread out and get a better idea of where a particular number or observation stands in relation to others in the dataset.
Thank You !