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": "find_minimum_rotated_sorted_array", "description": "Finds the minimum element in a rotated sorted array.", "parameters": {"nums": {"description": "The rotated sorted array.", "type": "List[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": "triangle_area", "description": "Computes the area of a triangle given its base and height.", "parameters": {"base": {"description": "The length of the base of the triangle.", "type": "float"}, "height": {"description": "The height of the triangle.", "type": "float"}}}, {"name": "find_equilibrium_index", "description": "Finds the equilibrium index of a list, where the sum of elements on the left is equal to the sum of elements on the right.", "parameters": {"arr": {"description": "The input list of integers.", "type": "List[int]"}}}, {"name": "binomial_probability", "description": "Calculates the probability of getting exactly k successes in n independent trials,", "parameters": {"n": {"description": "The total number of trials.", "type": "int"}, "k": {"description": "The number of successes.", "type": "int"}, "p": {"description": "The probability of success in each trial.", "type": "float"}}}, {"name": "is_power", "description": "Checks if a number is a power of a given base.", "parameters": {"num": {"description": "The number to check.", "type": "int"}, "base": {"description": "The base to check against.", "type": "int"}}}]
I have two sets of data and I want to see if there's a significant difference between them. The first set is [1.2, 3.4, 5.6, 7.8, 9.0] and the second set is [2.1, 4.2, 6.3, 8.4]. I'm using a significance level of 0.05. Can you help me with this?
user
assistant
[{"name": "independent_samples_t_test", "arguments": {"sample1": [1.2, 3.4, 5.6, 7.8, 9.0], "sample2": [2.1, 4.2, 6.3, 8.4], "alpha": 0.05}}]