Statistics question

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 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

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 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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