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Learn Statistics With Python

Code link  : Learn Statistics With Python

 Learn how to calculate and interpret several descriptive statistics using the Python library NumPy. ... This course focuses on a number of different descriptive statistics including the mean, median, mode, standard deviation, and variance of different datasets. ... In this course, you will ...

  Why Learn Statistics?

Statistics is a tool used to communicate our understanding of data. It helps us understand the world better, make assertions, and communicate our confidence in the statements we are making.

Take-Away Skills

This course focuses on a number of different descriptive statistics including the mean, median, mode, standard deviation, and variance of different datasets. Not only will you learn how to calculate these statistics, but you will learn how to interpret them. By getting an understanding of what these statistics represent, you will be able to better describe your own datasets.

Introduction

Finding the center of a dataset is one of the most common ways to summarize statistical findings. Often, people communicate the center of data using words like, on average, usually, or often.
In this lesson, you will learn how to calculate the mean of a dataset, a common measure of a dataset’s center. We will use the mean to help us answer the question,
When are adults their most creative and productive?
You could define “creative” and “productive” in a lot of ways, making this question impossible to fully answer by the end of this lesson. However, you will form an informed opinion on the question using data of the one hundred greatest novels of all time.
We collected the dataset from a survey administered by the French literary magazine, Le Monde. From the dataset, you will calculate the average age of the authors when their books were published.
Instructions
The histogram to the right displays the ages of 100 authors from the Le Monde survey. Where do you think the data is centered?
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