Listed below are brain volumes (cm3) of unrelated subjects used in a study. Assume the data is from a simple random sample. Use a 0.01 significance level and the critical values method to test the claim that the population of brain volumes has a mean equal to 1100.0cm3. Be sure to include all steps of a hypothesis test. 963 1027 1272 1079 1070 1173 1067 1347 1100 1204
what steps have you got so far?
I have the critical values of z= -2.575 and z= 2.575
And the formula z= xbar-u/sigma/square root of n
I am not sure if that is the right formula to use
that formulas fine hmm, all thats left it appears is to find the mean of the sample, and possibly the number of dataelements in the sample.
I am not sure how to find sample mean and standard deviation
not to sure how your material defines 'all steps' but in general, we state a hypothesis. then compare the results to determine which hypot is most likely you seem to have the right idea that its a 2 tailed test of equality. Ho: u = 1100 Ha: u not= 1100 then develop the CI such that:\[\pm2.575=\frac{\bar x-\mu}{\sigma/\sqrt n}\] \[CI:~\bar x\pm2.575({\sigma/\sqrt n})=\mu\]
standard deviation is given in the information .... and if you dont know how to find the mean of a set of numbers by now, then you might need to review the first chapter of your material
a little error in my thought, i was confusing a precious confidence interval into this setup :)
Okay I know how to find the mean it is just adding the numbers up and dividing but i wasnt sure if thats what it meant by " sample mean"
the data set provided is a sample ... so the sample mean is the mean of the sample data.
Okay thank you, but I still am not sure what the standard deviation is?
what does the information tell us it is?
youre right ... im on a different problem in my head still
I don't know... It tells us the significance level and tells us the population mean
since there is not population sd given, we can subsitute in the sample sd, and use a t distribution. does that sound familiar?
sd?
\[s=\frac{\sum(x-\bar x)^2}{n-1}\]
standard deviation (sd)
is that an 8?
...no sigma is the variable used for a population sd s is the variable used to a sample sd just like: mu is used for a population mean, and xbar is used for a sample mean
thats an s
Thankyou
if sigma (population sd) is known\[\large z=\frac{\bar x-\mu}{\sigma/\sqrt n}\] if sigma is NOT known, we can substitute the sample sd, s, which gives out setup a t distribution instead of a normal distribution: \[\large t=\frac{\bar x-\mu}{s/\sqrt n}\]
using excel, we can quickly find the sample mean, variance, and sd
Woah I didn't know you could do that, Haha!
using a t chart .... with a 2 tailed significant level of .01, and dF of 10-1 = 9 http://web.pdx.edu/~stipakb/download/PA551/t-distribution_table.gif t = 3.25
if out test statisitic of:\[\frac{1130.2-1100.0}{117.45/\sqrt{10}}>3.25\]then we fall in the tails of our hypothesis setup. and reject the null hypot.
How did you get 10-1?
there are 10 data elements listed. so for a t distribution we would need to determine the degrees of freedom as n-1
have you covered t distributions?
No
hmm, yet this is what the information would call for. its similar to a normal distribution, and as the number of data elements in the sample increases it better approximates the normal distribution. its used in the same manner but with a few tweaks
I am taking an online statistics class, and the modules we have only cover certain things and we are left with the textbook. I am struggling to teach myself because there are very few examples in the textbook
ive used this site to learn a lot of stuff and to teach myself as well. just graduated with a bachelors in math :)
Good for you!
yeah ... now i just need a job lol http://stattrek.com/probability-distributions/t-distribution.aspx this sites readable to me and covers the t distribution rather simply.
So it says to not use the t-distribution with sample sizes less than 40?
i read that ..... im gonna do another search.
heres a more simplified rule lol
that doc was from web.pdx.edu
Join our real-time social learning platform and learn together with your friends!