Math Problem Statement
Give detailed explanation
Solution
The problem is asking to find the covariance of the given data set of paired values:
Covariance Formula:
To calculate the covariance between two sets of data and , we use the following formula:
Where:
- and are the individual data points,
- and are the means of the data sets and ,
- is the number of data points.
Step-by-Step Solution:
Step 1: Extract the data
The data consists of paired values :
Step 2: Calculate the means of and
The mean of is:
The mean of is:
Step 3: Calculate for each pair
1 | 5 | 1 - 5.5 = -4.5 | 5 - 7.7 = -2.7 | |
2 | 7 | 2 - 5.5 = -3.5 | 7 - 7.7 = -0.7 | |
3 | 9 | 3 - 5.5 = -2.5 | 9 - 7.7 = 1.3 | |
4 | 11 | 4 - 5.5 = -1.5 | 11 - 7.7 = 3.3 | |
5 | 10 | 5 - 5.5 = -0.5 | 10 - 7.7 = 2.3 | |
6 | 9 | 6 - 5.5 = 0.5 | 9 - 7.7 = 1.3 | |
7 | 8 | 7 - 5.5 = 1.5 | 8 - 7.7 = 0.3 | |
8 | 7 | 8 - 5.5 = 2.5 | 7 - 7.7 = -0.7 | |
9 | 6 | 9 - 5.5 = 3.5 | 6 - 7.7 = -1.7 | |
10 | 5 | 10 - 5.5 = 4.5 | 5 - 7.7 = -2.7 |
Step 4: Sum the products
Step 5: Calculate the covariance
Using the formula for covariance:
Conclusion:
The covariance of the given data set is -1.35.
Do you have any further questions or need more clarification on any part?
Here are some related questions you might want to explore:
- What is the interpretation of negative covariance in this context?
- How does covariance differ from correlation?
- How would you calculate the variance of each variable separately?
- Can covariance be normalized to always lie between -1 and 1?
- How would adding a constant to each data point affect the covariance?
Tip: Covariance can give insight into the relationship between two variables, but it’s often helpful to also calculate the correlation coefficient to understand the strength and direction of the relationship.
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Math Problem Analysis
Mathematical Concepts
Statistics
Covariance
Data Analysis
Formulas
Cov(X, Y) = (1/n) Σ (Xi - X̄)(Yi - Ȳ)
Theorems
Covariance Theorem
Suitable Grade Level
Grades 11-12