Question: The data below is a subset of the shock data discussed in class. Compare the mean hemoglobin levels across the three shock types. If significant,

The data below is a subset of the shock data discussed in class. Compare the mean hemoglobin levels across the three shock types. If significant, assume that a decision was made apriori to examine two multiple comparisons of: hypovolemic v. cardiogenic, and hypovolemic v. bacterial. Use Bonferroni to carry out the comparisons. You may either carry out the necessary calculations by hand or you may use SAS using the test statistic approach. SAS code is provided to input the data.
\table[[Hemoglobin levels (gm100mL) by Shock Type,],[,Hypovolemic,Cardiogenic,Bacterial],[,7.1,14.7,7.9],[8.5,13.1,13.0,],[,11.2,12.5,9.1],[,11.0,14.6,10.0],[,9.7,16.6,11.4],[,7.4,13.0,10.5],[,7.5,12.0,9.6],[,15.2,10.5,7.3],[Mean,7.6,13.7,10.3],[Std. Dev.,13.5,18.0,6.7]]
data shock;
input shock hemog;
label shock = 'Shock Type';
label hemog = 'Hemoglobin Level (g100mL)';
cards;
17.1
8.5
111.2
11.0
9.7
\table[[7.4],[7.5],[15.2]]
15.2
1,7.6
13.5
2,14.7
213.1
2212.5
214.6
216.6
213.0
2,12.0
2,10.5
2,10.5
2,13.7
218.0
3,7.9
3,13.0
3,9.1
3,10.0
3,10.0
3,11.4
3,11.4
3,10.5
3,9.6
3,7.3
3,10.3
36.7
run;
proc format;
value fshock 1= 'Hypovolemic'
2= 'Cardiogenic'
3= 'Bacterial';
run;
proc means data=shock;
class shock;
var hemog;
format shock fshock.;
run;
proc glm data=shock;
class shock;
model hemog = shock;
means shock / bon alpha=0.075;
format shock fshock.;
run;quit;
 The data below is a subset of the shock data discussed

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