STATISTICS TERM PROJECT The topic of this project was an Exhale Study. We took multiple samples in different techniques to get optimal variety in the categories of Gender and Forced Expiratory Volume in Liters. We wanted to test if the different variables would fit into certain areas of limitation, and determine if they were correct in doing so or not. Total Population Data Systematic Sample Data Simple Random Sample Data Total Data statistics: Summary For our term project, Anna and I chose to do the Exhale Study. The set of data only has two categorical sections so we obtained our samples from the gender section. For the first sample we used Simple Random by generating a group of 35 from Statcrunch. The second sample we generated a random number, and did every tenth number after that for 30 numbers; systematic sampling. Compared to the whole population it varies. The whole population has about even numbers of males and females, with just a few more males. The systematic sample has more females, and the simple random has 20% more males. Overall the groups of data are pretty similar. Column n Mean Std. dev. Forced Expiratory Volume-liters 654 2.6367798 0.8670591 Sample 1 (Simple Random) Summary statistics: Column n Mean Std. dev. Sample 1- Simple Random Sampling 35 2.9432571 1.0850499 Sample 2 (Systematic) Summary statistics: Column n Mean Std. dev. Sample 2- Systematic Sampling 30 3.3839 0.64097282 Histogram: Boxplot: The data between the two sets is not significantly different. One difference that can be noted is the information on the first samples boxplot is skewed right, and the second samples looks to be in the middle, but is skewed more to the left. The second set of data has a normal bell shape. Overall, the Population data and Sample 1 are similar to each other and the standard deviation of the Population is similar to that of Sample 2. I always had a hard time with math, and felt like I only needed to know the basics like multiplication, division, addition, and subtraction to get by in life. After taking some college courses in math though, I have realized the real-life applications. Statistics, and this project specifically, show that you can be confident in your estimates without just guessing; there is an actual process that can give you systematic conclusions.