PSYC 1010 Chapter 6: Chapter 6

• School: University of Guelph
• Department: Psychology
• Course: PSYC 1010
• Professor: Lana Trick

Document Summary

Probability: in a situation in which different outcomes are possible, the probability for any specific outcome is defined as a fraction or a proportion of all the possible outcomes. If the possible outcomes are identified as a,b,c,d, etc. , then: Random sampling: requies that each individual in the population has an equal chance of being selected. A sample obtained by this process is a simple random sample: second requirement if more than one individual is being selected, the probabilities must stay constant from one selection to the next. The second requirement for random samples (constant probability) demands that you sample with replacement. Probability & frequency distributions: whenever a population is presented in a frequency distribution graph, it will be possible to represent probabilities as proportions of the graph. Example: the population distribution of sat scores is normal with a mean of ,=500 and a standard deviation of sd= 100.