STAT151 Chapter Notes - Chapter 14: Central Limit Theorem, Non-Sampling Error, Sampling Distribution

• School: University of Alberta
• Department: Statistics
• Course: STAT151
• Professor: Rosana Fok

Document Summary

Review of definitions: population parameter , sample statistic , sampling variability , sampling distribution . Mean, median, mode, range, variance or standard deviation from population data, written in greek letters random before sample is selected, observed after sample is selected. Values that vary between sample to sample. Summary for a sample data set, written in latin letters, regarded as. Distribution of all values in a statistic. Is obtained by taking the ratio of the number of successes in a. Suppose we are just interested in one characteristic that occured in the population of interest. for convenience, we will call the outcome we are looking for success (s). Population proportion (p) population total to the total number of elements in a population p =[ # of success in pop(n)]/[pop(n) size] Suppose 10 000 patients are in a hospital, and 7 000 of them like to play basketball.