Applying statistical techniques to address research problems

Python Script: To complete the tasks listed below, open the Notebook word document. Your project contains
the NBA data set and a Notebook word document with your Python scripts. In the notebook, you will find stepby-step instructions and code blocks that will help you complete the following tasks:
o Choose and create a data visualization.
o Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation.
o Construct confidence intervals for a population proportion and a population mean.
Summary Report: Once you have completed all the steps in your Python script, 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:
o Introduction: Set the context for your scenario and the analyses you will be performing.
o Data Visualization: Identify and interpret your chosen data visualization.
o Descriptive Statistics: Identify and interpret measures of central tendency and variability.
o Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.
o Conclusion: Summarize your findings and explain their practical implications.