PSYC 3000 Lecture Notes - Lecture 6: Sampling Distribution, Chi-Squared Distribution, Level Of Measurement

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Bruce Hutcheon

Document Summary

Sampling distribution is the probability of different outcomes for this experiment. Make a hypothesis about nature of the mean in population. Every time you take a sample, you look at the sample of the mean. Eventually you will look at sampling distribution of the mean. The way to create a sampling distribution is to take many samples from the same population. The mean won"t be the same for every sample. After many samples have been taken the shape of the distribution will not move around much. Hypothesis a skew in a population (ex: 0) Take many random sample and calculate the skew from each. End result is always conclusion about the population. Because the variance can never be 0 your hypothesis can never a normal distribution but always a positively skewed one. When testing nominal data you change it to proportions. You would estimate that a proportion of the population.