Start by observing the world and ask questions about the way it works or relationships you observe.?Statistics begin (and end) with questions. For example, maybe I think that white cars have more car...

Textbooks: Jackson, S. L. (2017). Statistics plain and simple. Cengage Learning. ISBN-10: 1305638905 ISBN-13: 9781305638907 Bernard, H. R., Wutich, A., & Ryan, G. W. (2016). Analyzing qualitative data: Systematic approaches (2nd edition). SAGE publications. ISBN-10: 1483344386 ISBN-13: 978-1483344386 Final Project Milestone #1:?1) Start by observing the world and ask questions about the way it works or relationships you observe.?Statistics begin (and end) with questions. For example, maybe I think that white cars have more car accidents than cars of any other color. As you ask questions, think about how you can measure your variables of interest (i.e., operationally define your variables). For example, perhaps I want to measure automobile safety but automobile safety is a multifaceted concept with multiple ways of measuring it. There is nothing wrong with using existing data from any number of sources. For this question write about your observations, questions, and operational definitions. (~1 page) 2) From all of your questions and observations, pick a question to answer. You can ask me or any faculty member for help with picking a question. Your variables / research question needs to follow some type of logical reasoning. For example, it is nonsensical to ask if the number of movies watched per week can predict safe driving because the two variables are not logically related. However, something like speeding is probably a good predictor of safe driving (i.e., the variables are logically related). Once you know your research question, state your hypotheses in NHST terms (i.e., null and alternative hypotheses), and operationalize your variables. How do you plan to measure your variables? What are your IV(s) and DV(s)? What is the level of measurement for each variable? For example, maybe I am examining the door holding behavior of men and women at ERAU. For each person, I have a binary outcome (DV) – either the person did or did not hold the door for someone...