ASSIGNMENT
(F-TEST)
         In an experiment that an engineer is interested in how the mean absorption of moisture
         in concrete varies among five (5) different concrete aggregates. The samples are
         exposed to moisture for forty-eight (48) hours. It is decided that six (6) samples are to
         be tested. The data are recorded as follows:
                            Absorption of Moisture in Concrete Aggregates
                   Aggregates              1           2          3               4          6
                                          551         595        639             417        563
                                          457         580        615             449        631
                                          450         508        511             517        522
                                          731         583        573             438        613
                                          499         633        648             415        656
                                          632         517        677             555        679
         Perform the analysis of variance at the 0.05 level of significance and indicate whether or
         not the mean moisture absorption of concrete aggregates differs significantly for the
         five (5) aggregates. If there is significant difference, identify where the significant
         difference lie.
                                   (CORRELATIONAL ANALYSIS)
        An study on the effects of medications on diabetes was conducted by a doctor who was
 born in Lopez, Quezon. Two of the generated data were the results of FBS (Fasting Blood Sugar)
 and HBA1c (Hemoglobin A1c). The results were as follows:
Individual    1    2    3    4    5    6    7    8    9    10   11   12   13
FBS          130 127 180 136 140 128 180 185 155 120 150 124 136
HBA1c        6.89 7.30 7.90 7.36 7.14 8.01 8.50 8.38 7.90 6.80 6.90 6.80 6.90
     a. Are the FBS and HBA1c values significantly correlated? Test at α = 0.05. Use the 5-step
        solution.
     b. Determine the Least Square Regression Line.
     c. Determine the Standard Error of Estimate