Math Problem Statement
Please fill in everything
Solution
To calculate the standard deviation for the given test scores, I will follow the steps as outlined in the document you provided.
Step 1: Find the Mean
The formula to find the mean () is: Where:
- is the sum of all the test scores
- is the number of test scores
Given test scores:
First, calculate the sum:
Now, calculate : There are 10 test scores, so .
The mean is:
Step 2: Find the Difference from the Mean ()
Now, we will subtract the mean from each test score:
\hline \text{Test Score (x)} & \text{Difference from the Mean (x - \bar{x})} \\ \hline 22 & 22 - 66 = -44 \\ 99 & 99 - 66 = 33 \\ 102 & 102 - 66 = 36 \\ 33 & 33 - 66 = -33 \\ 57 & 57 - 66 = -9 \\ 75 & 75 - 66 = 9 \\ 100 & 100 - 66 = 34 \\ 81 & 81 - 66 = 15 \\ 62 & 62 - 66 = -4 \\ 29 & 29 - 66 = -37 \\ \hline \end{array}$$ ### Step 3: Find the Square of the Differences ($$(x - \bar{x})^2$$) Next, square the differences: $$\begin{array}{|c|c|c|} \hline \text{Test Score (x)} & \text{Difference from the Mean (x - \bar{x})} & \text{Square of the Difference (x - \bar{x})^2} \\ \hline 22 & -44 & (-44)^2 = 1936 \\ 99 & 33 & (33)^2 = 1089 \\ 102 & 36 & (36)^2 = 1296 \\ 33 & -33 & (-33)^2 = 1089 \\ 57 & -9 & (-9)^2 = 81 \\ 75 & 9 & (9)^2 = 81 \\ 100 & 34 & (34)^2 = 1156 \\ 81 & 15 & (15)^2 = 225 \\ 62 & -4 & (-4)^2 = 16 \\ 29 & -37 & (-37)^2 = 1369 \\ \hline \end{array}$$ ### Step 4: Sum of the Squared Differences Now, sum the squared differences: $$\sum{(x - \bar{x})^2} = 1936 + 1089 + 1296 + 1089 + 81 + 81 + 1156 + 225 + 16 + 1369 = 7369$$ ### Step 5: Calculate the Variance The formula for variance ($$s^2$$) is: $$s^2 = \frac{\sum{(x - \bar{x})^2}}{n - 1}$$ Substitute the values: $$s^2 = \frac{7369}{10 - 1} = \frac{7369}{9} = 819.89$$ ### Step 6: Calculate the Standard Deviation Finally, take the square root of the variance to find the standard deviation: $$s = \sqrt{819.89} \approx 28.6$$ ### Final Answer: - Mean: 66 - $$n = 10$$ - Sum of $$(x - \bar{x})^2$$: 7369 - Variance: 819.89 - Standard Deviation: 28.6 Would you like more details on any of these steps or additional explanations? Here are some related questions for further exploration: 1. How do we interpret the standard deviation in terms of data spread? 2. How does variance differ from standard deviation? 3. How does the sample size ($$n$$) affect the calculation of the standard deviation? 4. What happens to the standard deviation if there is an outlier in the data? 5. How would you calculate the standard deviation for a population (not a sample)? **Tip:** When working with large datasets, using a calculator or software (e.g., Excel, Python) can significantly speed up the process of calculating standard deviation.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Statistics
Measures of Dispersion
Standard Deviation
Formulas
Mean formula: Mean = Σx / n
Variance formula: Variance = Σ(x - Mean)^2 / (n - 1)
Standard Deviation formula: Standard Deviation = √Variance
Theorems
Properties of Mean and Variance
Suitable Grade Level
Grades 9-12
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