ME Confidence Intervals: Bootstrap Distribution
2/3/2014 1 Statistics: Unlocking the Power of Data Lock5 STAT 101 Dr. Kari Lock Morgan Confidence Intervals: Bootstrap Distribution S EC T I O N S 3 . 3 , 3 . 4 Bootstrap Distribution ( ) 95% CI using standard error ( ) Percentile method ( ) Statistics: Unlocking the Power of Data Lock5 Confidence Intervals Population Sample Sample Sample Sample Sample Sample . . . Calculate statistic for each sample Sampling Distribution Standard Error (SE): standard deviation of sampling Distribution Margin of Error (ME) (95% CI: ME = 2 SE) statistic ME Statistics: Unlocking the Power of Data Lock5 Reality One small ... WE ONLY HAVE ONE SAMPLE!!!! How do we know how much sample statistics vary, if we only have one sample?
• magine the “population” is many, many copies of the original sample • (What do you have to assume?) “Population” Statistics: Unlocking the Power of Data Lock Reese’s Pieces “Population” Sample repeatedly from this “population”
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