APMA 3120 Chapter Notes - Chapter 7: Standard Deviation, Confidence Interval, Statistical Significance

• School: University of Virginia
• Department: Applied Mathematics
• Course: APMA 3120
• Professor: James Lark

Document Summary

Chapter 7: statistical significance, effect size and confidence intervals: reach conclusions for any statistic calculated, 3 tools provide indexes of how meaningful analysis results are, statistical significance. Is difference between population and sample means" too large to have occurred by chance, aka sampling error or random chance. Is what"s observed in sample also occurring in population that it"s supposed to represent. Establish criterion/benchmark before calculating statistics to decide whether h0 should be retained or rejected (conclude that sample represents a different population: determine by. Finding difference of sample statistic and population parameter a: divide by standard error c. X s: confidence interval, range of values that, with a certain degree of probability, contains population parameter, build interval around sample statistic increase confidence interval (widen) to contain population parameter means alpha level increases. If p-value > a level retain h0 of no difference between average sample scores & population.