Statistics

Echo Koenig ECBYRO3817 BUS 308 Statistics for Managers teacher: Nicholas Bergan 9.13 Null Hypothesis and the resource shot A. Ho:u slight than or equal to 42 vs. Ha:u great than 42 B. Random strain of 65 accede have in understanding x=42.954 O=2.64 a= .10, .05, .01, .001 Ho:u=42 vs Ha:u great than 42 Z= x-42 O/squ be root of n Z= 42.954-42 single out by (2.64 divided by the squargon root of 65) =.954 2.64/8.06 Z=2.91 at that placefore we poop egest Ho at .1, .05, and .01 but non .001 beca recitation .1, .05, and .01 be all lower than the z foster of 2.91. .1=1.28, .05=1.645, and .01=2.33. C. Z=2.91 and equals 1-.9982=.0018 The searing values to create Ho vs. Ha at a=.1, .05, .01 and .001 are the said(prenominal) as in attend to B. D. There is a roofy of evidence that suggests that the mean abstruse joy rating exceeds 42. ------------------------------------------------- 9.22 How do we decide whether to use a z shew or a t trial run when test a theory about a creation mean? You would use a z test when you are a testing a hypothesis that is using proportions and you use a t test when you are testing a hypothesis that is using performer. You brush aside use a t-test when the creation touchstone divergency is not known and estimated by the sample deviation to test whether the means of devil independent samples are contrastive, to test whether the means of two dependent samples are different and to invent a faith interval for the population mean.

------------------------------------------------- 12.10 P1=87%= .87 P2=8% =.08 P3=3% = .03 P4= 1% = .01 F1=479 F2=10 F3=8 F4=2 500(.87)=435 500(.08)=40 500(.03)=15 500(.01)=5 (479-435)2 + (10-40)2 + (8-15)2 +(2-5)2 435 40 15 5 1936 + 900 + 49 + 9 435 40 15 5 4.45+22.5+3.27+1.8=32.02 B. We can conclude that the errors for the computerized trunk start out from the manual...If you deprivation to get a dependable essay, order it on our website: Ordercustompaper.com

If you want to get a full essay, wisit our page: write my paper