. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1203 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1204 prin�() during iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 Chapter 98 Sta�s�cs The Sta�s�cs module contains basic sta�s�cs func�onality. Statistics.std – Func�on. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard devia�on of collec�on

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1169 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1169 prin�() during iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 Chapter 96 Sta�s�cs The Sta�s�cs module contains basic sta�s�cs func�onality. Statistics.std – Func�on. std(v; corrected::Bool=true, mean=nothing, dims) Compute the sample standard devia�on of a vector

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1167 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1167 xviii CONTENTS iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 Chapter 96 Sta�s�cs The Sta�s�cs module contains basic sta�s�cs func�onality. Statistics.std – Func�on. std(v; corrected::Bool=true, mean=nothing, dims) Compute the sample standard devia�on of a vector

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1205 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1206 prin�() during iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 Chapter 99 Sta�s�cs The Sta�s�cs module contains basic sta�s�cs func�onality. Statistics.std – Func�on. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard devia�on of collec�on

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1266 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1266 printf() during initialization iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 examples described below, run using Statistics and then the code from the example. Statistics.std – Function. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard deviation of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1227 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1228 prin�() during iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 Chapter 101 Sta�s�cs The Sta�s�cs module contains basic sta�s�cs func�onality. Statistics.std – Func�on. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard devia�on of collec�on

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 printf() during initialization iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 The Statistics standard library module contains basic statistics functionality. Statistics.std – Function. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard deviation of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1262 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1262 printf() during initialization iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 The Statistics standard library module contains basic statistics functionality. Statistics.std – Function. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard deviation of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 printf() during initialization iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 examples described below, run using Statistics and then the code from the example. Statistics.std – Function. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard deviation of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1292 Interface between JL_STD* and Julia code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1292 printf() during initialization iterables, like in, or mean and std from the Statistics standard library module: julia> 25 in Squares(10) true julia> using Statistics julia> mean(Squares(100)) 3383.5 julia> std(Squares(100)) 3024.355854282583 examples described below, run using Statistics and then the code from the example. Statistics.std – Function. std(itr; corrected::Bool=true, mean=nothing[, dims]) Compute the sample standard deviation of