The results of a race are normally distributed with a mean of 28 minutes and a standard deviation of 4 minutes. The fastest 20% go to districts. Using standard normal probability table, find the 2 probability values which bound the exact probability of finishing in the top 20%
so, i assume you are trying to find the exact minutes?
you are going to have to compare a zscore from a field table ... do you have a table for it?
Yes
Sorry was having trouble responding
do you know how to read the table?
Yes but what values do I look for and if there is an equation how do I set it up?
the table is not going to be exact, but it will give us a field value lower and higher than the exact value ... these define the 'bounds' that they are looking for
there are different tables out there so id have to know what format your table takes. is it a left tail, a right tail, or a shade from the mean?
.0793 = x - 28/4 ?
It's set up like a multiplication table
IF we knew the exact value, \(\chi\) to begin with, we would use the formula:\[z=\frac{\chi-\mu}{\sigma}\] this would most likely produce a z score that has more than 2 decimal places to play with; the table most likely only gives us a error rate of 2 decimal places
\[\chi=z(\sigma)+\mu\] but we cant find an exact z; but can find something a little lower, zo, and a little higher, z1, such that:\[[z_0(\sigma)+\mu]\le \chi\le [z_1(\sigma)+\mu]\]
they are all setup like a multiplication table .... they just have different values depending on how they actually measure the area under the normal distribution curve.
can you show us a picture of your table?
It goes up two decimals on the top and the values have 4 decimal places
sigh ... they all do that. your simply not understanding what im saying about the format of the tables. most likely because youve only seen one format
left tailed format http://4.bp.blogspot.com/_5u1UHojRiJk/TEh9BHxxPUI/AAAAAAAAAIQ/DafeQNMYFoE/s1600/ztable.gif right tailed format http://www.rochester.edu/college/psc/clarke/201/ztable2.jpg from the mean fromat http://1.bp.blogspot.com/-X8R15VpvgBI/TuWryLCWR_I/AAAAAAAABZs/1i5yuVpW5oQ/s1600/z-table.jpeg
but regardless of the format, we can know the zscore for 20% left tail of a normal distribution http://www.wolframalpha.com/input/?i=invnormal%28.2000%29 z = -0.842 ; so your table will most likely have boxed between -0.84 and -0.85
I also need to find the z score in which the most runners will be qualified
nice pic :) yeah, IF we only use that part, then we want to find 1-.2000 = .8000 in the field ... then negate the results since we want the other side of the mean
notice that we can find: .7995 and .8023 in the field; .8000 fits right in between them
so, using the formulas to entrap \(\chi\) we have: xo = -.84(sd) + mean x1 = -.85(sd) + mean
as for the second part, im not real sure what "find the z score in which the most runners will be qualified" means for us
i see one typo so far ... since -85 is smaller than -84, i got my xo and x1 mixed up
Thanks is there a special notation needed to write it?
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