已知数据列表为：30，31，47，50，52，52，56，60，63，70，70，110，编写相应函数完成下面各指标的计算。mean（均值）median（中位数）mode（众数）midrange（中列数）方差标准差

为了计算给定数据集的均值、中位数、众数、中列数（也称为四分位距）、方差和标准差，您可以创建一个Python函数来处理这些任务。以下是对应的代码：

def calculate_statistics(numbers):
    mean = sum(numbers) / len(numbers)
    median = sorted(numbers)[len(numbers) // 2] if len(numbers) % 2 else (sorted(numbers)[len(numbers) // 2 - 1] + sorted(numbers)[len(numbers) // 2]) / 2
    mode = max(set(numbers), key=numbers.count)  # 使用collections.Counter可能更高效
    mid_range = numbers[len(numbers) // 2] - numbers[0]
    variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
    std_dev = variance ** 0.5

    return {
        "Mean": mean,
        "Median": median,
        "Mode": mode,
        "Mid-range": mid_range,
        "Variance": variance,
        "Standard Deviation": std_dev
    }

data = [30, 31, 47, 50, 52, 52, 56, 60, 63, 70, 70, 110]
stats = calculate_statistics(data)

print(f"Numbers: {data}")
print(f"Statistics:\n{stats}\n")