Math Problem Statement

1.323, 1.235, 1.328. mean and standard deviation

Solution

import numpy as np

Data

data = [1.323, 1.235, 1.328]

Calculations

mean = np.mean(data) std_dev = np.std(data, ddof=0) # Population standard deviation

mean, std_dev(1.2953333333333334, 0.042710914556143835)(1.2953333333333334, 0.042710914556143835)successThe mean of the data set [1.323,1.235,1.328][1.323, 1.235, 1.328] is approximately 1.295.

The standard deviation is approximately 0.043.

Would you like further details or have any questions? Here are some related topics you might explore:

  1. What is the difference between population and sample standard deviation?
  2. How does adding or removing a value affect the mean and standard deviation?
  3. How are mean and standard deviation used in probability distributions?
  4. What is the role of the standard deviation in measuring variability?
  5. How to calculate the variance based on the standard deviation?

Tip: Standard deviation gives you a sense of how spread out the data is around the mean—smaller values indicate less variability!

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Math Problem Analysis

Mathematical Concepts

Statistics
Mean
Standard Deviation

Formulas

Mean = (Sum of all data points) / (Number of data points)
Standard Deviation = sqrt(Σ(x_i - mean)^2 / N)

Theorems

Properties of mean
Properties of standard deviation

Suitable Grade Level

Grades 9-12