Intro to Stats

1. What is the purpose of quantitative data analysis?

• To provide a descriptive summary of the data
• To make inferences about the larger population
• To identify patterns and relationships in the data
• All of the above

2. What is the difference between quantitative and qualitative data analysis?

• Quantitative analysis focuses on numerical data, while qualitative analysis focuses on non-numerical data.
• Quantitative analysis is more objective, while qualitative analysis is more subjective.
• Quantitative analysis involves statistical methods, while qualitative analysis involves thematic analysis
• All of the above

3. What is a variable in quantitative data analysis?

• A data point that is an outlier
• A characteristic or attribute being measured or observed
• A measurement of the central tendency of the data
• None of the above

4. Which of the following is a measure of central tendency?

• Range
• Variance
• Standard deviation
• Median

5. Which of the following is a measure of variability?

• Mean
• Median
• Standard deviation
• Mode

6. What is a correlation coefficient?

• A measure of the strength and direction of the relationship between two variables
• A measure of the difference between two groups
• A measure of the variance in the data
• None of the above

7. What is the purpose of statistical significance testing?

• To determine if the results of a study are meaningful and not due to chance
• To calculate the effect size of a study
• To identify potential confounding variables in a study
• None of the above

8. What is the difference between a sample and a population?

• A sample is a subset of the population
• A sample represents the entire population
• A population is a subset of the sample
• None of the above

9. Which of the following is a statistical method for comparing two groups?

• Regression analysis
• ANOVA
• Correlation analysis
• None of the above

10. What is quantitative data analysis?

• The process of collecting data using numerical methods
• The process of analyzing data using statistical methods
• The process of interpreting data using qualitative methods
• None of the above