Biostatistics Study Material with Solved Assignments and Essays - Desklib
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This study material on Biostatistics includes solved assignments and essays covering topics such as relative risk, T-test, linear regression, odds ratio, correlation analysis, and more. It also discusses the significance of p-values, standard deviation, and standard error in statistical analysis.
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Question 2 Option A Relative risk is greater than 1, hence the possibility of outcome being met would be RR times the population where there is no exposure. Question 3 Option A T test would be used for two sample proportion comparison. Chi –square & correlation are used for dependence. ANOVA is used for more than two variables. Question 4 Option C Dummy variable would be introduced and linear regression model found. Question 5 Option C The study is descriptive and not experimental since the focus is not limited to a single relation but multiple relations between variables are being explored. Question 6 Option C In this case, age can act as an confounding variable and reduce internal validity. Question 13 Option A There is overlap of the intervals owing to which the difference in not significant. Question 14 Option A P value is the probability of occurrence of Type 1 error (or rejection of a true null hypothesis)
Question 18 Option A Inductive reasoning employs deriving broad generalisations from specific instances. Question 20 Option C Odds ratio is a measure of association and provides relative superiority or inferiority measure. Question 20 Option D Since odds ratio is less than 1, hence incidence is less likely and 55% less considering the odds ratio value of 0.45. Question 24 Option B Data is categorical for affected jointed. Question 25 Option D Since p value greater than significance level, hence the results are not significant. Question 26 Option A Since p value is lesser than significance level, hence the results are significant. Question 28 Option A Since the mean value lies within the confidence interval, hence null hypothesis should not be rejected. As it is rejected, hence this is false rejection of true null hypothesis.
Question 31 Option C Correlation coefficient between FMS score and injuries is -0.8214 and hence significant. Question 32 Option C Required value = (11/(11+4)) = 73.33% Question 33 Option B There is a drop in sensitivity owing to decreased accurate of positive case detection but specificity seems to be on the increase. Question 34 Option A The correlation between the requisite variables is negative and high in magnitude (i.e. 0.8214) and hence is significant. Question 38 Option A Weak correlation do exist with multiple performance parameters which is why further research is required to ascertain the nature and significance of relationship. Question 39 Option A Considering height and weight would have ensured that the correlation could have been heightened as the impact of weight and height would have been controlled. Question 40 Option C
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Descriptive statistics in the form of correlation analysis has been carried out but inferential testing has not been performed. Question 41 Option C Question 46 Option B Multiple regression required owing to multiple independent variables being present. Question 47 Option A P value is lower than significance level and hence significant difference. Question 48 Option A Independent t test ought to be conducted since the two variables are independent and respective means are being compared. Question 49 Option A Owing to decrease of the standard deviations of the two variables, the standard error would decrease and hence the test statistic value would increase and increasing the likelihood of null hypothesis rejection.