Question

Match each situation with the correct statistical technique.

Group of answer choices:

1. Histogram
2. Wilcoxon Rank Sum           
3. Chi-square test           
4. Two sample t test            
5. Median (Q1, Q3)           
6. Count (%)           
7. Bar Graph           
8. ANOVA            
9. Kruskal Wallis Test           
10. Fisher's Exact Test       

1. Outcome is continuous, predictor has two categories. Only have 20 observations.
2. Descriptive Statistics for a Categorical Variable
3. Both variables are categorical. Only have 20 observations.
4. Outcome is continuous, predictor has two categories. Have 500 observations.
5. Descriptive Statistics for a Continuous Variable
6. Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is relatively similar.
7. Both variables are categorical. Have 1000 observations.
8. Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is vastly different.
9. Visual display for a continuous variable     
10. Visual display for a categorical variable

Answer 1

1. Histogram- Visual display for a continuous variable (
   A Histogram represents the frequency distribution of continuous variables)
2. Wilcoxon Rank Sum- Outcome is continuous, predictor has two categories. Have 500 observations.
3. Chi-square test-Both variables are categorical. Have 1000 observations.( The chi-square test for independence is used to determine whether there is a significant relationship between two categorical variables.)
4. Two sample t test -Outcome is continuous, predictor has two categories. Only have 20 observations.
5. Median (Q1, Q3)-Descriptive Statistics for a Continuous Variable (Descriptive statistics for continuous variables categorised into 3 general classes, namely: location statistics (eg, mean, median, mode, quantiles), dispersion statistics (eg, variance, standard deviation, range, interquartile range), and shape statistics (eg, skewness, kurtosis).)
6. Count (%) - Descriptive Statistics for a Categorical Variable(The basic statistics available for categorical variables are counts and percentages. ... These custom summary statistics include measures of central tendency (such as mean and median) and dispersion (such as standard deviation) that may be suitable for some ordinal categorical variables.)
7. Bar Graph- Visual display for a categorical variable (A bar graph is a diagrammatic comparison of discrete variables or used to show categorical data.)   
8. ANOVA - Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is relatively similar.   
9. Kruskal Wallis Test - Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is vastly different.   
10. Fisher's Exact Test -Both variables are categorical. Only have 20 observations.