User question:
user: I'm analyzing three datasets and need to calculate the standard deviation for each. The first dataset includes ages from a recent survey: 23, 34, 45, 56, 67, 78, and 89 years old. The second dataset consists of this week's pricing data from our store inventory: $10, $20, $30, $40, $50, and $60. The third dataset features our basketball team's scores from the past season: 90, 80, 70, 60, 50, and 40 points. Can you help me understand the variability within each group?

Available functions:
name: calculate_standard_deviation
description: Calculates the standard deviation of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers

Ground-truth function call(s):
calculate_standard_deviation(numbers=[23, 34, 45, 56, 67, 78, 89])
calculate_standard_deviation(numbers=[10, 20, 30, 40, 50, 60])
calculate_standard_deviation(numbers=[90, 80, 70, 60, 50, 40])