Match each clinical research scenario with the most appropriate statistical test used to analyze the study data.
- A study comparing the mean reduction in HbA1c levels between a group receiving a novel antidiabetic medication and a group receiving a standard placebo.Two-sample t-test
- An observational study assessing the association between smoking status (smoker versus non-smoker) and the incidence of deep vein thrombosis (present versus absent).Chi-square test
- A clinical trial evaluating the differences in mean systolic blood pressure among three distinct dietary intervention groups.Analysis of variance (ANOVA)
- An investigation analyzing the strength and direction of the linear relationship between maternal age (in years) and infant birth weight (in grams).Pearson correlation coefficient
Cevap
L1 pairs with Two-sample t-test; L2 pairs with Chi-square test; L3 pairs with Analysis of variance (ANOVA); L4 pairs with Pearson correlation coefficient.
Statistical test selection relies on identifying the variable types. A t-test compares means between two groups. ANOVA compares means among three or more groups. The Chi-square test evaluates independence between categorical variables. Pearson correlation measures the linear association between two continuous variables.
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Anahtar Kavram
Selection of the appropriate statistical hypothesis test based on the types of data (continuous vs. categorical) and the number of groups being compared.
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