You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "future_investment_value", "description": "Calculates the future value of an investment based on the present value, annual interest rate, and number of years.", "parameters": {"present_value": {"description": "The present value of the investment.", "type": "float"}, "annual_interest_rate": {"description": "The annual interest rate as a decimal (e.g., 0.05 for 5%).", "type": "float"}, "years": {"description": "The number of years the investment will grow.", "type": "int"}}}, {"name": "permutation_count", "description": "Calculates the number of permutations of k elements from a set of n elements.", "parameters": {"n": {"description": "The total number of elements in the set.", "type": "int"}, "k": {"description": "The number of elements to choose for the permutation.", "type": "int"}}}, {"name": "independent_samples_t_test", "description": "Conducts a two-sample independent t-test and returns the t-statistic, p-value, and conclusion.", "parameters": {"sample1": {"description": "The first sample of observations.", "type": "List[float]", "default": 0.05}, "sample2": {"description": "The second sample of observations.", "type": "List[float]", "default": 0.05}, "alpha": {"description": "The significance level of the test. Defaults to 0.05.", "type": "float, optional"}}}, {"name": "euclidean_distance", "description": "Computes the Euclidean distance between two points in a 2D plane.", "parameters": {"point_a": {"description": "The coordinates of the first point (x, y).", "type": "Tuple[float, float]"}, "point_b": {"description": "The coordinates of the second point (x, y).", "type": "Tuple[float, float]"}}}]
Perform a t-test on the following two samples with a significance level of 0.05: sample1=[1, 2, 3, 4, 5], sample2=[6, 7, 8, 9, 10].
user
assistant
[{"name": "independent_samples_t_test", "arguments": {"sample1": [1, 2, 3, 4, 5], "sample2": [6, 7, 8, 9, 10], "alpha": 0.05}}]