Data Science-Descriptive Statistics
https://www.youtube.com/watch?v=K4sObJbN4JU Sampling Error : Difference between sample and population averages (X bar and Mu) Parameter: A number that describes population is called parameter Statistics: A number that describes sample is called Statistics Correlation does not prove Causation Constructs : Difficult to measure like anger, hard work, intelligence, hunger, itchiness Operational Definitions : Constructs can be converted into variables with the help of operational definitions. Dependent/Independent variables : Variables that scientists are interested in measuring by varying the independent variable. Extraneous or lurking variables: Are other variables that may or may not interfere with the experiment. Any Extraneous variable that impact the results we call them compounding experiments Control variable: Variable that are kept same in each trail e.g. ball size, number of people Moderator variables: Are variables that can increase or decrease the relation...