STAT 1000Q Lecture Notes - Lecture 3: Null Hypothesis, Scatter Plot, Observational Error

• School: UConn
• Department: Statistics
• Course: STAT 1000Q
• Professor: Robert Apruzese( S I)

Document Summary

Decision-making process to estimate population characteristics from sample data. Determine if two or more groups are statistically different (based on results) Assumption how well the sample represents the population. Incurred when the statistical characteristics of a population are estimated from a subset or sample of that population. Due to sampling error we are likely to get patterns of scores in our samples that do not accurately reflect the underlying population. There is a relationship in the population. Next, we obtain data from samples we think represent the population. However, the sample we select may not reflect the pattern. Sampling error stresses the importance of generalizability. Generalizability: the ability to generalize the results of your study sample to the greater population. Fact/problem we don"t know the pattern of scores/data in the population. How well the sample estimates the characteristics of the population.