PSYC 217 Lecture Notes - Lecture 12: Unimodality, Quartile, Statistical Inference
Document Summary
What would it mean if our data looked like this? (look at graph) Minor incidents become more funny over time, whereas severe incidents become less funny with time. Minor incidents are funnier than severe ones. Understand why we use descriptive and inferential statistics. Describe and graphically represent the results of any measurement scale in the most meaningful way. Understand how sample size and variability influence measures of central tendency. Interpret a correlation coefficient and a squared correlation coefficient. Summarize and examine the sampled data (descriptive stats) To use sampled data to make reasonable inferences about the greater population (inferential stats) Categories or groups (ex. ethnicity, levels of an iv) Rankings, even spaces, true zero point (ex. height, weight, reaction time) Summarizing data from the different scales: nominal and ordinal data. Right (positive) skew - mean is greater than median, longer right hand tail than left hand tail, closer to first quartile.
