AGRC1023 Lecture 11: WEEK 13 - L11
Document Summary
Understanding properties of normal distribution what it looks like, key features. What does it look like when things are skewed, when you"ve got outliers, what does it take to make something not normal. The nature of observations o o o o. Kinds of analysis we learn to do is focussed on continuous data numerical! We don"t really go anywhere near proportions, categories, etc. Ideas behind experiments (how do you conceptualise what you"re doing what kinds of things do you need to think about?) o. What measures can we use? (e. g. five number summary, mean, sd, etc. ) Comparing a single mean with some constant value (one samples t- test, paired t-test) o. Take a sample, compare that mean with some constant o o o. Take a sample, compare that mean with some constant. One-sample t test: measure something, say is it comparable with mean value of x?". How do we describe data, confidence intervals, etc.
