I have been working on comparing a set of data and can't figure it out. I think it is pretty simple but I am really bad on statistics. I would really appreciate if someone out there could help. sample Exp A Exp B 1 1.2 1.4 2 .5 .4 3 2.5 2.5 4 .8 .8 5 1.5 1.4 6 2.0 2.0 7 1.5 1.5 I need to prove with some statistical terms that Exp A and Exp B can can produce same results. What Stat term can i use to compare the data? I have a total of 40 samples with similar results as above. Please Please help. Thanks in advance
punk_biologist · Feb 3, 2011 9:06 PM · 15,103 views
i am not a statistician so this may be incorrect .. this may be ur starting point .... if I were you I would do z-test based on two sample..with H0 : u1= u2 and H1: u1!=u2....z test because number of samples > 30... just a suggestion...sajha statistician may suggest u more!!!
iinception · Feb 3, 2011 9:58 PM
If you are trying to prove that mean of A =Mean of B, then you can use Two-sample Independent T-test.. Last edited: 03-Feb-11 10:43 PM
Purana Kagaz · Feb 3, 2011 10:43 PM
T test is the best one as. n>30
birendra12 · Feb 4, 2011 12:23 AM
for independent sample use two-sampled t-test; if not use paired t-test; u can run those test easily on minitab or spss
thito1 · Feb 4, 2011 9:51 AM
I got this results and it may be helpful. (T-test result.) Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:auto; mso-para-margin-left:0in; text-align:justify; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} The TTEST Procedure group N Mean Std Dev Std Err Minimum Maximum a 7 1.4286 0.6824 0.2579 0.5000 2.5000 b 7 1.4286 0.6993 0.2643 0.4000 2.5000 Diff (1-2) 0 0.6909 0.3693 group Method Mean 95% CL Mean Std Dev a 1.4286 0.7974 2.0597 0.6824 b 1.4286 0.7818 2.0753 0.6993 Diff (1-2) Pooled 0 -0.8047 0.8047 0.6909 Diff (1-2) Satterthwaite 0 -0.8047 0.8047 group Method 95% CL Std Dev a 0.4398 1.5028 b 0.4506 1.5399 Diff (1-2) Pooled 0.4955 1.1405 Diff (1-2) Satterthwaite Method Variances DF t Value Pr > |t| Pooled Equal 12 0.00 1.0000 Satterthwaite Unequal 11.993 0.00 1.0000 Equality of Variances Method Num DF Den DF F Value Pr > F Folded F 6 6 1.05 0.9542 Normal 0 false false false Last edited: 06-Feb-11 05:03 PM
Bhojpure01 · Feb 6, 2011 2:26 PM
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