Math 171 was the first time I have ever taken a statistics class; however, with my professors teaching style It was very simple to grasp. The objectives of Math 171 state that by the end of the course students should be able to  explain various data collection methods for categorical and quantitative data and their roles in inference, Describe and analyze each type of data, Present and interpret data graphically (e.g., bar charts, histograms, and box plots), Compute and interpret measures of center and spread for quantitative data, Apply basic concepts of probability to find probabilities using the normal distribution, Explain the difference between experimental and observational studies and the types of conclusions that can be drawn from each, Use the Central Limit Theorem, Use confidence intervals and tests of hypotheses for population means (z and t procedures) and population proportions. Every class consisted of my professor teaching from a powerpoint she had prepared. The power points had examples of what we were learning about and this teaching style made the class easier to comprehend and understand. We had tests and papers for grades and a final exam.

For my artifact I will show one of my papers i wrote. This was my first math paper I had ever written so there was a learning curve with how to properly write a paper for math; however, by the last paper the formatting was easy to understand.