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Questions and Answers
Which of the following statements is true about variance?
Which of the following statements is true about variance?
- It is a measure of how spread out a set of data is from its mean. (correct)
- It is a measure of the average distance between each data point and the mean.
- It is a measure of the absolute value of the difference between the highest and lowest data points.
- It is a measure of the correlation between two sets of data.
What does covariance measure?
What does covariance measure?
- The degree to which two sets of data are related. (correct)
- The average distance between each data point and the mean.
- The difference between the highest and lowest data points.
- The spread of data points from the mean.
Which of the following is a plausible explanation for why covariance is important in statistical analysis?
Which of the following is a plausible explanation for why covariance is important in statistical analysis?
- It helps us identify outliers in a dataset.
- It measures the absolute value of the difference between the highest and lowest data points.
- It tells us the spread of data points from the mean.
- It helps us understand the relationship between two variables. (correct)
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Study Notes
Variance and Covariance
- Variance measures the spread or dispersion of a single variable from its mean value.
- Covariance measures the linear relationship between two variables, indicating how they change together.
Importance of Covariance
- Covariance is important in statistical analysis because it helps to identify relationships between variables, allowing for the identification of patterns and trends that might not be apparent from individual variable analysis.
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