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Old 08-09-2012
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Stats 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

please mention how you reached to your answer ?

***can it come in ck ?
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Old 08-09-2012
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i think its B) Analysis of variance

it says 3 groups. >2 groups is ANOVA.
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Old 08-09-2012
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Quote:
Originally Posted by moske View Post
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.
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Old 08-10-2012
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ANOVA or analysis of variance is the option here, anything that comprises more than 2 variables (i.e) 3 is ANOVA
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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) .
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Old 08-10-2012
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Quote:
Originally Posted by Novobiocin View Post
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 ?
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Biostatistics-Epidemiology, Step-2-Questions

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