probability of Type II error to be no greater than 0.20 when μ = 12%?
827431
when the probability is 0.2:\n\nP((β-12%)*Sqrt(n)/σ>=1.301)=20%\n1.301 is the T value under degree of freedom of 44 and α =10%\n\nI did not pay attention in leaasons of statistics, I dont know if it's correct.
470658
The above answer is basically correct.  Plug in a few more values, such as (21,1543.5), (22,1694), and so on for a few more values of the graph.
1067486
64. or 72, depending on what type
685456
less than 675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769849648489749697647478947984978487946987647894678946978678947896497846784598549789478974847986978978974878947894985797484796798569879478468796986974897876949875648795698759787896478968585679457689576954678476894768947698476897698476984568974986749857698476998469784679768585794687589967849769487685678597689576984769847698758697476675894765984576894579864795864795867945867498675967495846749589467945894674986974589476497694567947694758946789576984768576487684576464764876474687857498654987584796794764598675984674899476489764987689476984769
809077
I would assume that one of your .01s in column A is something like 0.012.\n\nChange your number  format to General and see what happens.
476198
25% - SY\n25% - Sy\n25% - sy\n25% - sY
812261
You are very close. If K = -0.032 is accurate enough, then use it.\n\npA = Ae^(19 * -0.032)\np = e^(19 * -0.032) ~ 0.544\n\nIf you leave K = ln(.5)/22 then\np ~ 0.5496
1156399
This is a good question even for a statistician.\nThe problem is your set is small and I do not know what the deviation between samples is, however the repeatability and reproducibility information can bind the window \nthrough which the third value will fall through or perhaps even remain in.  \n\nLet me know.
922757
a) Can't sell more than 4, so 1*p(selling 1) + 2*p(selling 2) + 3p(selling 3) + 4p(selling4).\n\nb) Find the number n so that p(x>n) is less than 0.05 for a Poisson "vif" mean 3.
280200
If a random sample size of 25 corresponds to a standard deviation of 30, then you can expect a random sample of size 25N to roughly correspond to a standard deviation of 30 / sqrt(N).\n\nIf 99% of the area under the bell curve is between -Z and +Z standard deviations, then you want 30 Z / sqrt(N) to be less than or equal to 0.5.\n\nMaybe a little more because of the variation of the estimated standard deviation from the true standard deviation.\n\nAlso check that the theory and the measurements both suggest it is appropriate to use the normal or Gaussian distribution.
279247
No, because 199 is not between 1 and 10. As the poster above said, change it to 1.19 x 10^-1
479514
It printed this for me 0♦8\n\nHope this Helps.\nGood Luck!!!
624712
This problem is solvable.\nProbability of event A is written P(A).\n\nP(A)= Total # of outcomes that correspond to event A (divided by -or- over) Total # of outcomes in sample\n\nAnswer:\nP(A) = 12/20 = 3/5
1132929
taking a very small sample would result in sampling error
922655
reject H0 the mean differenceis greater than 0 at the 95% CI.
406933
http://www.mcse.ms/archive217-2005-5-1645242.html\nhttp://www.techspot.com/vb/topic47729.html\n\n^^ Those links will take you to forums that talk about those specific errors.\n\nGood luck!
805759
Something less than 10 microns x 10 microns x 10 microns.\n\nor a list of "My Successes" by George W Bush.