Country $($or dependency$)$ Population $-1950(000\text{'}$s$)$

India $357,561$

China $554,760$

United States of America $157,813$

Pakistan $39,659$

Indonesia $79,538$

Nigeria $29,790$

Bangladesh $41,783$

Brazil $53,975$

Dem. Rep. of the Congo $12,184$ data of $($alt $4\mathrm{.}3)$ Instructions:

The assignment should be presented in the form of an Excel with a clear answer to "Assignment $2-$ Assessment Questions".

Please read Chapter $4$ thoroughly and complete the exercises using the Excel data $($Labs $4\mathrm{.}1$ to $4\mathrm{.}3)$ provided for Week $2,$ which corresponds to Chapter $4.$

Please note that you are not allowed to use reports and analysis from any online resources. Such action will be considered as plagiarism. You can learn from online resources, but you are not allowed to copy and paste anything from online resources or any AI$-$based platforms.

Your assignment must be uploaded to Canvas in one Excel File and the assessment questions that must be answered. You may upload several files, but only the most recent submission before the deadline will be graded.

Late submissions will be accepted only until Monday, January $27,2025,$ at $11$:$59$ p$.$m$.,$ unless permission to be submitted late is granted by your instructor. A penalty of $5$ marks will be deducted for each $12-$hour delay or part thereof.

Remember to include your integrity statement with the student number, name and signature. You must write your name, student number and sign it electronically.

For this assignment, you are tasked with conducting a diagnostics Analytics using the datasets provided in "Lab $4\mathrm{.}3$ Data.xlsx$"$ and "Alt Lab $4\mathrm{.}3$ Data.xlsx$."$ chapter $4.$ Your primary focus will be on the exercises outlined in "Lab $4\mathrm{.}3$ Data.xlsx$,"$ but your final submission should be based on the alternative dataset, "Alt Lab $4\mathrm{.}3$ Data.xlsx$."$

The objective of this assignment is to reinforce your understanding of diagnostics models

This assignment is not only an opportunity to refresh your statistical knowledge but also a stepping stone toward mastering advanced analytical techniques that are crucial in today's data$-$driven business environment.