T - STATISTICS
 
Total Staff Waste

        Group Results                Shahnaz's Results

mean1 = 0.07378                           mean2= 0.153
Std Dev1 = 0.04053                       Std Dev2 = 0.017
Sample Size1 = 14                         Sample Size2 = 21
 

Confidence Interval

     (Mean1-Mean2) +/- t  *  Square Root ((s1/n1)squared + (s2/n2)squared)        Aside :
                                                                                                                                Degrees of Freedom = 13
                                                                                                                                Confidence Interval 95%
                                                                                                                                t = 2.160

    - 0.07922 +/- 0.02473
 
    (-0.10395, -0.05449)
 

T - Test

        t =  (Mean1 - Mean2)/square root ((s1/n1)squared + (s2/n2)squared)

        t = -6.9189

We Reject It :  Which means that the sample means are not the same.
 
 
 
 

Total Student Waste

        Group Results                Shahnaz's Results

mean1 = 0.07332                           mean2= 0.05
Std Dev1 = 0.0307                         Std Dev2 = 0.015
Sample Size1 = 14                         Sample Size2 = 21
 

Confidence Interval

     (Mean1-Mean2) +/- t  *  Square Root ((s1/n1)squared + (s2/n2)squared)        Aside :
                                                                                                                                Degrees of Freedom = 13
                                                                                                                                Confidence Interval 95%
                                                                                                                                t = 2.160

     0.02322 +/- 0.01908
 
    (0.004, 0.0423)
 

T - Test

        t =  (Mean1 - Mean2)/square root ((s1/n1)squared + (s2/n2)squared)

        t = 2.628

We Reject It :  Which means that the sample means are not the same.