STAT 200 Lecture Notes - Lecture 1: Simple Random Sample, Continuous Or Discrete Variable, Response Bias
Document Summary
Distinguish between a sample and a population. Determine when causal conclusions (as opposed to associations) can be made. Identify simple random sampling and convenience sampling methods. Identify explanatory and response variables in a scenario. A variable is a characteristic that is measured and can take on different values. Variables can be classified as categorical or quantitative. Categorical: names or labels (i. e. , categories) with inconsistent differences between groups. Nominal: variable with categories that have no meaningful order. Ordinal: variable with categories that have a meaningful order or ranking but the difference between those categories is not consistent. Quantitative: numerical values with magnitudes that can be placed in a meaningful order with consistent intervals, also known as numerical. Discrete: data that can only take on set number of values. Continuous: quantitative data that can take on any value between the minimum and maximum, and any value between two other values. A teacher conducts a poll in her class.
