User question:
user: I've been keeping track of some statistics and need to calculate averages to analyze trends: a basketball player's performance with scores of 35, 40, 45, 50, and 55 points in his last five games, the weekly temperature with recordings of 72, 75, 78, 80, 82, and 85 degrees Fahrenheit, and the monthly fluctuation in the price of a dozen eggs at $1.50, $1.55, $1.60, $1.65, and $1.70. Could you calculate the mean values for these?

Available functions:
name: calculate_mean
description: Calculates the mean 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_mean(numbers=[35, 40, 45, 50, 55])
calculate_mean(numbers=[72, 75, 78, 80, 82, 85])
calculate_mean(numbers=[1.50, 1.55, 1.60, 1.65, 1.70])