You are conducting a study on the effects of a medication. Patients are divided
ID: 3064627 • Letter: Y
Question
You are conducting a study on the effects of a medication. Patients are divided into two groups, the experimental group (who took the medication), and controls (who did not take the medication). Before you test the effect of the medication, you want to be sure that both genders are equally represented in each group- that is, the number of men is roughly equal in controls and cases, and the number of women is similarly equal in controls and cases. There is a total of 116 subjects. What test would you use? ANOVA, Kruskal-Wallis Test, Rank Sum test, Chi-square test, Fisher Exact test, Paired Samples t-test
Data is collected on daily exercise (in minutes) and weight. You want to test if there is a relationship between the two variables, and more specifically, to quantify this relationship. What test would you use?
Independent samples t-test
ANOVA
Chi-square test
Linear Regression
Shapiro-Wilke Test
Signed Rank Test
Daily caloric intake was sampled on 45 people. What test would you use to see if the data is normally distributed?
ANOVA
Shapiro-Wilke Test
Linear Regression
Chi-square test
One-sample t-test
Signed rank test
You want to see if there is a difference in memory test scores between normal controls, patients with mild cognitive impairment, and patients with dementia. Test scores are measured on a continuous scale. The sample size is 44 controls, 37 MCI, 36 AD. What test would you use?
Independent samples t-test
Paired samples t-test
ANOVA
Kruskal Wallis Test
Chi-Square Test
Shapiro-Wilke Test
Independent samples t-test
ANOVA
Chi-square test
Linear Regression
Shapiro-Wilke Test
Signed Rank Test
Explanation / Answer
ANOVA is the test used to compare continuous data of two or more groups with equal or unequal samples. Kruskal Wallis test is the non-parametric alternate for ANOVA when the data is non-normal. Rank sum test is the non-parametric version of two samples t-test which is based on the order of samples. Chi-square test and Fisher exact test are used for testing independence and fit of data to specific distributions. Paired sample t-test is used for mean comparison of dependent samples. So The appropriate test for effects on a medication is RANK SUM TEST as the there are two independent samples and the order is important.
Independent sample t-test is used to compare means of two independent samples. ANOVA is the test used to compare continuous data of two or more groups with equal or unequal samples. Chi-square test is used for testing independence and fit of data to specific distributions.Linear regression is used to model the relationship between independent and dependent variables. Shapiro-Wilke test is used for testing the normality. Signed rank test is the non-parametric version of paired samples t-test. The appropriate test is the LINEAR REGRESSION to quantify the relationship between exercise and weight.
Shapiro-Wilke test is used for testing the normality. Linear regression is used to model the relationship between independent and dependent variables. Chi-square test is used for testing independence and fit of data to specific distributions. One sample t-test is used for testing population mean. Signed rank test is the non-parametric version of paired samples t-test. So the most appropriate test to check whether the data of daily calorie intake is normally distributed is SHAPIRO-WILKE TEST.
Independent sample t-test is used to compare means of two independent samples. Paired sample t-test is used for mean comparison of dependent samples. ANOVA is the test used to compare continuous data of two or more groups with equal or unequal samples. Kruskal Wallis test is the non-parametric alternate for ANOVA when the data is non-normal. Chi-square test is used for testing independence and fit of data to specific distributions. Shapiro-Wilke test is used for testing the normality. So ANOVA is the most appropriate test to test the difference in memory test scores between normal controls, patients with mild congnitive impairment, and patients with dementia as the categories are independent, test scores are continuous and the sample sizes are larger than 30 so that normality can be assumed.
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