Percentage and Percentile

 "From Percentage to Percentile: Understanding the Shift in Data Analysis"

Once upon a time, there was a school with 100 students. The principal wanted to know how many students had scored above 90% in their exams. So, the teacher calculated the percentage of students who scored above 90%.

The teacher found that 20 students had scored above 90% which meant that 20 % of the students in the school had scored above 90%. The percentage tells us the proportion or fraction of something in relation to the whole.

However, the principal wanted to know where these students stood in terms of the overall performance of all students in the school. So, the teacher calculated the percentile of these students.

The teacher found that these 20 students were in the 90th percentile, which means that they performed better than 90% of the students in the school. The percentile tells us where a particular value stands in relation to the rest of the data.

In other words, while the percentage is a measure of how much of something there is in relation to the whole, the percentile is a measure of where something stands in relation to all other values.

Percentile

So, the next time you hear about percentage and percentile,remember this story of the school and its students.

@https://datataleswithshalini.blogspot.com/2023/05/percentage-and-percentile.html

"From Bell Curves to Big Wins: Exploring Normal Distribution in Data Analysis"

Once upon a time ,there was a town called Normalville.Everyone who lived in Normalville had a certain height, and if you plotted their height on a graph,you would get a bell-shaped curve.The people in Normalville didn't know it,but this bell-shaped curve was actually an example of normal distribuition.

One day, a stranger came to Normalville and noticed the bell-shaped curve.The stranger was a data scientist and knew that this kind of distribuition was very useful for analyzing data.The stranger explained to the people of Normalville taht normal distribuition meant that most people in the gtown had an average height,and very few people were extremely tall or short.

The data scientist also explained that normal distribution can help us understand how likely certain events are to occur. For example, if we know that a certain type of product is usually rated at 4.5 stars out of 5, we can use the normal distribution to figure out how likely it is for the product to be rated higher or lower than that.

The people of Normalville were fascinated by this concept and wanted to learn more. The data scientist showed them how to use the bell-shaped curve to find things like the average and standard deviation of a set of data. They also learned how to use the normal distribution to make predictions and see how likely certain outcomes were.

Okhay !! This much help that Data scientists have done to Normalville people 😂😂😂

Nevermind!!! Stay connected for more such cool pieces of stuff!!!

@datataleswithshalini