RosettaCodeData/Task/Statistics-Normal-distribution/Loglan82/statistics-normal-distribution.loglan82
2026-04-30 12:34:36 -04:00

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(* Statistics/Normal distribution *)
block
(* Generates normally distributed random numbers with mean 0 and standard deviation 1 *)
unit random_normal: function: real;
const
pi = 3.14159265358979;
begin
result := cos(2.0 * pi * random) * sqrt(-2.0 * ln(random))
end random_normal;
unit normal_stats: procedure (sample_size: integer);
var
r: arrayof real,
sum, mean, diff, scale, sd: real,
h: arrayof integer,
h_sum, adj, i, j: integer;
begin
if sample_size < 1 then return fi;
array r dim (1 : sample_size);
array h dim (-1 : 10); (* all zero by default *)
sum := 0.0;
h_sum := 0;
(* Generate 'sample_size' normally distributed random numbers with mean 0.5
and standard deviation 0.25.
Calculate their sum and in which box they will fall when drawing
the histogram. *)
for i := 1 to sample_size
do
r(i) := .5 + random_normal / 4.0;
sum := sum + r(i);
if r(i) < 0.0
then h(-1) := h(-1) + 1
else
if r(i) >= 1.0
then h(10) := h(10) + 1
else h(entier(r(i) * 10)) := h(entier(r(i) * 10)) + 1
fi
fi
od;
for i := -1 to 10 do h_sum := h_sum + h(i) od;
(* Adjust one of the h() values if necessary to ensure h_sum = sample_size *)
adj := sample_size - h_sum;
if adj =/= 0
then
for i := -1 to 10
do
h(i) := h(i) + adj;
if h(i) >= 0 then exit fi;
h(i) := h(i) - adj
od
fi;
mean := sum / sample_size;
(* Now calculate their standard deviation *)
sum := 0.0;
for i := 1 to sample_size
do
diff := r(i) - mean;
sum := sum + diff * diff
od;
sd := sqrt(sum / sample_size);
(* Draw a histogram of the data with interval 0.1
If sample size > 300 then normalize histogram to 300 *)
scale := 1.0;
if sample_size > 300 then scale := 300.0 / sample_size fi;
writeln("Sample size ", sample_size);
writeln(" Mean ", mean: 8: 6, " SD ", sd: 8: 6);
for i := -1 to 10
do
if i = -1 then write("< 0.00 : ")
else
if i = 10
then write(">=1.00 : ")
else write(" ", i / 10.0 : 4: 2, " : ")
fi
fi;
write(h(i): 5, " ");
for j := 1 to entier(h(i) * scale + .5) do write("*") od;
writeln
od;
end normal_stats;
begin
call normal_stats(100);
writeln;
call normal_stats(1000);
writeln;
call normal_stats(10000);
writeln;
end;