A chemist wants to compare two distinct corrosion inhibitors, A and B. In the experiment, 30 panels were immersed in a s

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A chemist wants to compare two distinct corrosion inhibitors, A and B. In the experiment, 30 panels were immersed in a s

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A Chemist Wants To Compare Two Distinct Corrosion Inhibitors A And B In The Experiment 30 Panels Were Immersed In A S 1
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A chemist wants to compare two distinct corrosion inhibitors, A and B. In the experiment, 30 panels were immersed in a solution containing sulphuric acid and inhibitor A for four hours, whereas the other 30 panels were immersed in a solution containing sulphuric acid and inhibitor B for four hours. To assign the panels to one of the two inhibitors, randomly permuted blocks of varied lengths (2, 4 and 6) were utilized. Weight reduction over a four- hour period is the key response variable. Your job is to see if there is enough evidence to say whether there is a difference in normal weight loss between the two types of inhibitors in general. Question: Make appropriate graphical and numerical summaries. Use these summaries to express your subjective opinions on what you believe the facts are saying about the topic of interest. (Question of interest-comparing the effectiveness of two different corrosion inhibitors
Code Scaffold for Corrosion Inhibitors Analysis Your name Read in the data and check the structure OB Rows: 54 Columns: 2 ** $ Weight Loss <dbl> 262.0038, 266.1252, 218.3868, 282.8558, 261.7971, 238.243.. ** $ Inhibitor <chr> "Inhibitor A', Inhibitor A", "Inhibitor A", "Inhibitor AP Summary Statistics tibble: 2 x 4 Inhibitor Sample.size Hean SD 08 cchr> Cint> <dl> <dbls 09 1 Inhibitor A 28 249. 21.2 3 2 Inhibitor B 26 244. 22.1 add a title put in a y label put in an x label
Density plots with rainclouds ** Picking joint bandwidth of 8.36 add a title Weight Loss Inhibitor 300 250 put in a y label 200 Siddh putihan xabol two sample t-test (using base R) es & Welch To Sample t-test de data: Weight.Loss by Inhibitor t. 0.7247, df - 51.285, p-value - 2.4719 en alternative hypothesis: true difference in means between group Inhibitor A and group Inhibitor is not equal to 28 95 percent confidence interval: 92 -7.56562 16.11506 28 sample estimates: a mean in group Inhibitor A sean in group Inhibitor 248.7733 244.4955 95% Bootstrap Cl for difference in means es. A tibble 12 lower_c upper si 20
<dbl> -7.04 <dbly 15.4 #1 add a title 150- 100,- add a y label 50 add an x label Permutation test 60. A tibble: Il 8 P_value cdbl> 0.476 Tolerance Intervals Inhibitor A 80 alpha x.bar 2-sided.lover 2-sided. upper 1 .es .95 243.7733 294.6215 33.5251 Inhibitor alpha w.bar 2-sided. Lower 3-sided.upper a e.es .95 244.4906 385.cena 383.3956
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