what does it mean to interpret an answer in terms of sampling error??
the question is.... determine the percentage of sample size 4 that have mean finishing times within 5 minuites of the population mean finishing time of 61 minutes. Interpret answer in terms of sampling error
so i go 61+- 5 to find interval of 56<x<66 minutes... P(56-61/9/2)= -1.11=.1335 p(66-61/9/2)=1.11= .8665 .8665-.1335=.7330 but in??? terms of sampling error???
do you know what a confidence interval is?
\[p\pm E\]
\[E=z_\%\sqrt{\frac{\sigma^2}{n}}\] another way to approach sigma^2 is p(1-p), or .25 if p is unknown
so should it just be 73.3%+- 3.2985% ??? or does expressing in in terms of sampling error change my percentage? i don't see how it should.... but it IS stat...
i think maybe what is confusing me is that we are determining a percentage... and the point estimate is in minutes.... and if i used my mu as the point estimate p i would get 61+-3.2985 which would give me the interval +-5minutes.... but that is not a percentage
whats bothering me is that there is no standard deviation to speak of. Which i spose would amount to .25, or range/4 maybe im thinking about this in the wrong way. could it be as simple as the difference of 5, divided by the mean?
Lol.... nope I figured it out and wanted to share.... interpreting in terms of sampling error is to say: there is a 73.3 %chance that the true mean finishing time was within 5minutes of 61 minutes....
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