Columbia College, MA 250 Statistics Assignment: Predicting Smokers

This statistics assignment analyzes a dataset of patient smokers, covering various statistical concepts. The assignment begins with basic descriptive statistics like mean, median, and mode, followed by data visualization using a scatterplot. It then delves into regression analysis, determining the line of best fit, correlation coefficient, and interpreting the slope and y-intercept. The analysis continues with a five-number summary, boxplot creation, and calculations of standard deviation, variance, and interquartile range (IQR). Outliers are identified, and the data's normality is assessed through tests. The assignment concludes with an overall conclusion drawn from the analysis and reflections on the learning experience. The student determined that the data set was normally distributed and that the number of patients who quit smoking increased year in year out.