3. Formal Evaluation Conduct a rigorous analysis to help you answer the question of interest. Question of interest case, we are interested in Corngroing the effectiveness of two different corrosin inhibit8s. In this 1 to zero (indicing that Hypothesis: Ho: The Mean difference between the weight loss to due to inhibitor A and B is equal B both the inhibitay are qually effective). Ha:- the mean difference between the weight loss due to inhibith A and B is not equal to Zerol B Cindicating that the inhibitors are not equally effective). from the descriptive statictics, we see the point co stimato for the difference is about 246.8870 -251 9379 = -6.509.. Also the variance of the two samples is runequal. From the distribution of the two samples, we find Sample es normally distributed. that 18 Sample that ad Hence use a Huse - tample t-test 18 ce 0.96066 unequal Pvolut o. 2o1. Save preluers greater than 0.05w the the results saniificant not 22 we tail to reject the mall hypothests and conclude that there is no suHicient sufficientevidance to support the claim that the difference in the weight lossduc to the two inhibita is signficant. The (- 18.28644.6.3434) 951. confidence interved to the difference is Hence The interval contains zero hence it not significant we arrive at the same conclusion that there is no sufficient evictance to support the claim that the difference in the weight loss due to the two inhibitor is signficant, Code Scaffold for Corrosion Inhibitors Analysis Your name Read in the data and check the structure OB Rows: 54 el Columns: 2 #* $ Weight Loss 262.0038, 266.1252, 218.3868, 292.8558, 261.7271, 238.243.. ** $ Inhibitor "Inhibitor A", Inhibitor A", Inhibitor A", "Inhibitor A. Summary Statistics # # tibble: 2 x 4 Inhibitor Sample.size Hean SD cint> -7.04 15.4 11 add a title 150 1002 add a y label add an x label Permutation test 60. A tibble: 1 8 P_value cdbl> 0.476 Tolerance Intervals Inhibitor A 88 alpha x.bar 2-sided. Lover 2-sided. super 1 .es e.95 243.7733 194.6215 303.5251 Inhibitor e alpha w.bar 2-sided lower 3-sided. upper a e.es ..95 244.4906 385.cn 382.3956 3. Formal Evaluation Conduct a rigorous analysis to help you answer the question of interest. Question of interest case, we are interested in Corngroing the effectiveness of two different corrosin inhibit8s. In this 1 to zero (indicing that Hypothesis: Ho: The Mean difference between the weight loss to due to inhibitor A and B is equal B both the inhibitay are qually effective). Ha:- the mean difference between the weight loss due to inhibith A and B is not equal to Zerol B Cindicating that the inhibitors are not equally effective). from the descriptive statictics, we see the point co stimato for the difference is about 246.8870 -251 9379 = -6.509.. Also the variance of the two samples is runequal. From the distribution of the two samples, we find Sample es normally distributed. that 18 Sample that ad Hence use a Huse - tample t-test 18 ce 0.96066 unequal Pvolut o. 2o1. Save preluers greater than 0.05w the the results saniificant not 22 we tail to reject the mall hypothests and conclude that there is no suHicient sufficientevidance to support the claim that the difference in the weight lossduc to the two inhibita is signficant. The (- 18.28644.6.3434) 951. confidence interved to the difference is Hence The interval contains zero hence it not significant we arrive at the same conclusion that there is no sufficient evictance to support the claim that the difference in the weight loss due to the two inhibitor is signficant, Code Scaffold for Corrosion Inhibitors Analysis Your name Read in the data and check the structure OB Rows: 54 el Columns: 2 #* $ Weight Loss 262.0038, 266.1252, 218.3868, 292.8558, 261.7271, 238.243.. ** $ Inhibitor "Inhibitor A", Inhibitor A", Inhibitor A", "Inhibitor A. Summary Statistics # # tibble: 2 x 4 Inhibitor Sample.size Hean SD cint> -7.04 15.4 11 add a title 150 1002 add a y label add an x label Permutation test 60. A tibble: 1 8 P_value cdbl> 0.476 Tolerance Intervals Inhibitor A 88 alpha x.bar 2-sided. Lover 2-sided. super 1 .es e.95 243.7733 194.6215 303.5251 Inhibitor e alpha w.bar 2-sided lower 3-sided. upper a e.es ..95 244.4906 385.cn 382.3956