The statement that is not true regarding standard deviation is:

A. Standard deviation is a measure of center.

Explanation:

• Standard deviation is a measure of spread, not a measure of center. It quantifies how much the data values vary or spread out from the mean.
• Measures of center include the mean, median, and mode, but not the standard deviation.
• The other options are correct:
  • B correctly states that the standard deviation describes the consistency of the data values.
  • C correctly states that standard deviation measures the variation in the data.
  • D is correct because if all the values are the same, there is no variation, so the standard deviation would indeed be zero.

Would you like a more detailed explanation or have any questions?

Here are 5 related questions to consider:

1. What is the difference between standard deviation and variance?
2. How does standard deviation relate to the normal distribution?
3. Why is standard deviation important in statistics?
4. How do outliers affect the standard deviation?
5. What are common situations where you would use standard deviation?

Tip: Standard deviation is sensitive to extreme values (outliers), meaning that even a single extreme value can significantly increase the standard deviation.