Implement using Julia

Implementing basic statistcs from data Below you will be implementing the sample mean, variance, and standard deviation of a dataset X. This dataset is guaranteed to be a vector of floating point numbers. We want the estimates of the variance and standard deviation to be unbiased. Stack OverflowError: 1 Array@ boot.jl:457 [inlined] 2. Array@ boot.jl:466 [inlined] 3. Array@ boot.jl:474 [inlined] rand @ Random.jl:289 [inlined] 5. rand @ Random.jl:290 (inlined] 6. rand @ Random.jl:278 [inlined] 7. var(::Vector{Float64}) @ Other: 2 4 let # Testing cell X = (1.0, 2.0, 3.0, 4.0, 5.0] = mean(X) = stddev (X) v = var (x) P, , v if p == 3.0 && == sqrt(2.0) && V == 2.0 md"**Ok, but something is slightly wrong!** elseif == 3.0 && == sqrt(2.5) && v == 2.5 md"**Great job!** else md"**Keep at it** *" end ." end mean (generic function with 2 methods) function mean(X::Vector{Float64}) end var (generic function with 2 methods) function var (X::Vector{Float64}) end 26.8 s stddev (generic function with 2 methods) function stddev (X::Vector{Float64}) end