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#1
08-09-2012
 USMLE Forums Master Steps History: --- Posts: 1,365 Threads: 648 Thanked 584 Times in 354 Posts Reputation: 594
T test or Chi Square or ANOVA?

An article concerning the relative ability of a new drug to lower systolic blood pressure describes a study in which age and ethnicity-matched male patients are divided into three groups. One group receives a well recognized drug at a standard dose. The other two groups receive the new drug, but at different doses. At the end of 30 days, the systolic blood pressure of each group was determined, and the significance of the differences in the mean values was tested statistically.

Which of the following statistical tests would provide the greatest confidence in the results?

(A) Student’s t-test
(B) Analysis of variance
(C) Correlation coefficient
(D) Chi-squared test
(E) Logistic regression

***can it come in ck ?

#2
08-09-2012
 USMLE Forums Scout Steps History: Not yet Posts: 54 Threads: 12 Thanked 25 Times in 13 Posts Reputation: 35

i think its B) Analysis of variance

it says 3 groups. >2 groups is ANOVA.
 The above post was thanked by: tyagee (08-09-2012)
#3
08-09-2012
 USMLE Forums Newbie Steps History: Step 1 Only Posts: 5 Threads: 2 Thanked 1 Time in 1 Post Reputation: 11

Quote:
 Originally Posted by moske i think its B) Analysis of variance it says 3 groups. >2 groups is ANOVA.

my answer would be One way ANOVA since it involves 1 interval variable(blood pressure) and 1 nominal variable(treatment/control); but the nominal variable has more than 2 groups which is why we chose one-way ANOVA.
 The above post was thanked by: tyagee (08-09-2012)
#4
08-10-2012
 USMLE Forums Master Steps History: 1+CK+CS+3 Posts: 1,216 Threads: 41 Thanked 1,316 Times in 706 Posts Reputation: 1331

ANOVA or analysis of variance is the option here, anything that comprises more than 2 variables (i.e) 3 is ANOVA
#5
08-10-2012
 USMLE Forums Master Steps History: 1+CK+CS Posts: 1,867 Threads: 149 Thanked 2,085 Times in 1,046 Posts Reputation: 2105

t-test checks difference between the means of 2 groups.

ANOVA checks difference between the means of 3 or more groups.

x2 (chi-square) test checks difference between 2 or more percentages or proportions of
categorical outcomes (not mean values) .
#6
08-10-2012
 USMLE Forums Master Steps History: --- Posts: 1,365 Threads: 648 Thanked 584 Times in 354 Posts Reputation: 594

Quote:
 Originally Posted by Novobiocin t-test checks difference between the means of 2 groups. ANOVA checks difference between the means of 3 or more groups. x2 (chi-square) test checks difference between 2 or more percentages or proportions of categorical outcomes (not mean values) .
chisquare in interval data ONLY... that what you meant ..right ?

 Tags Biostatistics-Epidemiology, Step-2-Questions

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