Statistics Unit: Week 3
For our final week in our Statistics unit, we focused on the presentations/lesson plans that were given in class, as well as the study guide assigned.
Part 1: Presentations
While all of the presentations were well thought-out and executed, they all focused on "Mean/Median/Mode" - this gave us little help with the other components that will be on the exam such as Standard Deviation, Outliers, and Box & Whisker plots.
That being said, there were a couple of presentations that stood out most to me:
Part 2: Study Guide
While I have not yet fully completed the study, there were two things that I found extremely useful/important to know for tomorrow's exam:
Closing
I hope my blog has helped clarify some concepts we learned during this short Statistics unit in Math 252. I wish everyone good luck on the exam!
Part 1: Presentations
While all of the presentations were well thought-out and executed, they all focused on "Mean/Median/Mode" - this gave us little help with the other components that will be on the exam such as Standard Deviation, Outliers, and Box & Whisker plots.
That being said, there were a couple of presentations that stood out most to me:
- Presentation #1 (Hailey): This presentation focused on finding the mean/median/mode of a large set of data by putting it into a dot plot. The data was based off the ages of the presenter's Facebook friends and, as such, there were several numbers that repeated multiple times. What stood out to me was that I struggled to add all 49 numbers and calculate the mean/median/mode in a strictly mathematical way. What I failed to realize until after was that I could have organized them into the dot plot FIRST. This would have made easier to find all three M's without doing as much work. Overall, I found this lesson helpful to me because it made me see that their are much easier ways to find answers to mathematical questions without listing out every single data point.
- Presentation #3 (Kaycie): This was the presentation where we found mean/median/mode by using different color-coded candy. Many in class found this confusing and somewhat tricky, but I feel as though the point of the lesson was to show us that sometimes, we get tricked by multiple different factors. There was a large mix of candy (from Skittles, to M&Ms, to Mike&Ikes) and it confused people because they did not know whether to sort the groups by color or type of candy. While it seems trivial, this is an important concept because oftentimes in math exams or homework, we are given multiple variables in one problem. What is important is that we distinguish what is important information and what is not.
- Presentation #6: The last presentation was also mean/median/mode, but was different from the other in that it incorporated the Box & Whiskers plot and outliers. This was a nice refresher because it reminded us how to create a Box & Whiskers plot, as well as calculate the positive and negative outliers by using the IQR equation.
Part 2: Study Guide
While I have not yet fully completed the study, there were two things that I found extremely useful/important to know for tomorrow's exam:
The 5-Number Summary: One of the problems in the study guide was to find what the 5-number summary was in a group of data and/or graph. I was unsure of what this meant until I looked it up and a 5-number summary is this:
Minimum - Lower Quartile - Median - Upper Quartile - Maximum
This summary is basically the main, definitive points in a Box & Whiskers Plot. This is important because a 5-number summary gives us the general range or extremes of the data set.
Bell Curve: Another thing I found to be important was the problems concerning the bell curve (Section 13.3, #11 A-C). This is especially tricky for me because I often confuse myself and make little mistakes when it comes to calculations. These problems helped reinforce my knowledge of the percentages that go into the bell curve (68%, 95%, 99.7%) as well as how to compute standard deviation when given a mean and an interval.
Outliers: The study guide also helped me practice with outliers, which I feel wasn't covered as much as I would've liked in class. If you want help on how to calculate the IQR and find the positive and negative outliers (if any), please refer to my second blog post below this.
Closing
I hope my blog has helped clarify some concepts we learned during this short Statistics unit in Math 252. I wish everyone good luck on the exam!