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Identify and interpret measures of central tendency and variability.

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For this project, you will submit the Python scriipt you used to make your calculations and a summary report explaining your findings.
Python Script: To complete the tasks listed below, open the Project One Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scriipts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:
Choose and create a data visualization.
Calculate descriiptive statistics including mean, median, min, max, variance, and standard deviation.
Construct confidence intervals for a population proportion and a population mean.
Summary Report: Once you have completed all the steps in your Python scriipt, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:
Introduction: Set the context for your scenario and the analyses you will be performing.
Data Visualization: Identify and interpret your chosen data visualization.
Descriiptive Statistics: Identify and interpret measures of central tendency and variability.
Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.
Conclusion: Summarize your findings and explain their practical implications.

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