How to implement basic statistical calculations (mean, median, mode) in Go?

To implement basic statistical calculations (mean, median, mode) in Go, you can use the built-in packages and write your own functions. Here's an example implementation:

Mean Calculation:

func Mean(numbers []float64) float64 {
    sum := 0.0
    for _, num := range numbers {
        sum += num
    }
    return sum / float64(len(numbers))
}

Median Calculation:

func Median(numbers []float64) float64 {
    sort.Float64s(numbers)
    middle := len(numbers) / 2
    if len(numbers)%2 == 0 {
        return (numbers[middle-1] + numbers[middle]) / 2
    }
    return numbers[middle]
}

Mode Calculation:

func Mode(numbers []float64) []float64 {
    frequency := make(map[float64]int)
    for _, num := range numbers {
        frequency[num]++
    }
    maxFrequency := 0
    modes := []float64{}
    for num, count := range frequency {
        if count > maxFrequency {
            maxFrequency = count
            modes = []float64{num}
        } else if count == maxFrequency {
            modes = append(modes, num)
        }
    }
    return modes
}

You can use these functions in your code as follows:

func main() {
    numbers := []float64{1, 2, 3, 3, 4, 5, 5, 5}
    mean := Mean(numbers)
    median := Median(numbers)
    modes := Mode(numbers)

    fmt.Println("Mean:", mean)
    fmt.Println("Median:", median)
    fmt.Println("Mode(s):", modes)
}

This will calculate and print the mean, median, and mode(s) of the given numbers.