Hello, this is a Applied Statistics question for Population, Samples, and Bias. If you can please help answer questions #$1-2$ using the peer response. Thank you!

A$)$ Hello everyone! I$\text{'}$m Crystal Ferdinand. My major is Business in Administration. I have not worked in HR$,$ but I have been called in before on certain aspects. I$\text{'}$m from Baton Rouge, Louisiana and I reside across the river in Erwinville, Louisiana now with my husband. We have a beautiful blended family of $5($I have one biological son in this blend$)$ and several grandchildren! I$\text{'}$m $52$ years old and I love living my best life with my husband of almost $6$ years. We enjoy motorcycle riding, traveling all over the world, helping other couples through our ministry and just being ME$!$

I have used data to make a decision on getting a car. I made the choice to get a Toyota Corolla and never regretted it$.$ I did the proper research and found that Toyota is one of the top brands of vehicles and very reliable and dependable. The research shows that $5$ of the Toyota vehicles rank in the top $25$ of best selling vehicles! $2$ years later, I upgraded my Corolla to the Toyota RAV$4$ and I love it even more!

For Susan, I would inform her that $70\%$ of the students are NOT for the Corolla because they would prefer the shiny red sports car that is not really safe, but has the noise, color and speed that teenagers want. $30\%$ of the students are for the Corolla because they realize that it is a safe car and that they are willing to accept what the parents are offering them!

Finally, I believe that relationship to the population is one of convenience. Teenagers don't truly always want what is best for them, but rather what they feel they need at the time. What is in style or the coolest thing at the time and this is what makes them make the rash decisions that they do$.$

$1.$ Choose two different sampling methods from among your peers' responses. Then, identify bias in each peer's sample and explain how you think they could remove the bias from their sample.

B$)$ My name is Brad Wulf and I am super new to the academic world of statistics and this class terrifies me$!$ With that said, I am familiar with the statistics world and my job requires the crunching of numbers daily. In my current role as a General Manager, I am constantly analyzing sales forecasts, open sales dollars on our books versus our daily output to determine capacity constraints and$/$or increasing $/$ decreasing departmental employee resources based on the story the numbers tell me$.$

For Susan to take a sample of the student population well, in my opinion, it would be best to divide the entire school population into subgroups $($grades$)$ and then randomly select a proportionate sample from each grade regardless of class or gender. For Susan to take an inaccurate sample that does not represent the population well would be to divide the population down by grade and even further down to the class level and having the sample randomly selected by class which does not account for the entire grade. In this scenario, only a portion of the population is selected, and opinions are left out.

The relationship of sample to population as I understand it is$,$ population is the overall category which is being analyzed by using a sample of the category itself. The classification of my good poll would fall under a Stratified Sample and the less favorable poll would be classified as a Cluster Sample.

$2.$ Choose two different sampling methods from among your peers' responses. Then, identify bias in each peer's sample and explain how you think they could remove the bias from their sample.