Execute the scripts in Scilab and allow me to copy the runnable scripts because my keyboard has malfunctions. To do it manually. Thank you.
Execute the scripts in Scilab and allow me to copy the runnable scripts because my keyboard has malfunctions. To do it manually. Thank you.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Execute the scripts in Scilab and allow me to copy the runnable scripts because my keyboard has malfunctions. To do it manually. Thank you.
![7
end
disp('
disp(¹)
if fbelow -- 0
printf('Outliers below minimum class boundary $10.6g \n',fbelow)
end
if fabove -- 0
printf('Outliers above maximum class boundary
10.6g \n', fabove)
end
disp(' ')
printf('Total number of data points
printf('Total number of classes
10.6g \n',n);
-10.6g \n',k)
disp(' ');
xset(window',1);xbas(1);
histplot (k,x);
xtitle('histogram","x', 'rel.f');
xset('window', 2);xbase (2);
xset('mark',-9,2);
plot2d(cmark, feumulrel,-9);
plot2d(cmark, fcumulrel, 1);
xtitle('ogive', 'x', 'cun.rel.f');
//end function
In this example, we generate a vector of 100 randon data values and apply
function fregdist to it:
-->x-int(100*rand(1,100));
-->getf("freqdist')
-->min(x), max(x)
ans
ans
99.
-->xelass= [0:10:100];
-->freqdist (x,xelans)
1.
‒‒‒‒‒](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F10d1760b-ca3f-4f0d-acfe-3816c93febfa%2Ff574df18-3839-4c7d-ba68-099ce1f622f4%2Fgibvaii_processed.png&w=3840&q=75)
Transcribed Image Text:7
end
disp('
disp(¹)
if fbelow -- 0
printf('Outliers below minimum class boundary $10.6g \n',fbelow)
end
if fabove -- 0
printf('Outliers above maximum class boundary
10.6g \n', fabove)
end
disp(' ')
printf('Total number of data points
printf('Total number of classes
10.6g \n',n);
-10.6g \n',k)
disp(' ');
xset(window',1);xbas(1);
histplot (k,x);
xtitle('histogram","x', 'rel.f');
xset('window', 2);xbase (2);
xset('mark',-9,2);
plot2d(cmark, feumulrel,-9);
plot2d(cmark, fcumulrel, 1);
xtitle('ogive', 'x', 'cun.rel.f');
//end function
In this example, we generate a vector of 100 randon data values and apply
function fregdist to it:
-->x-int(100*rand(1,100));
-->getf("freqdist')
-->min(x), max(x)
ans
ans
99.
-->xelass= [0:10:100];
-->freqdist (x,xelans)
1.
‒‒‒‒‒
![//Typical call: freqdist(x,xclass)
[m n] = size(x);
[m nB]=size(xclass);
k = nB = 1;
//Calculate class marks
cmark
zeros (1,k);
for ii = 1:k
cmark (ii) = 0.5*(xclass (ii)+xclass(ii+1));
end
//Initialize frequency counts to zero
fcount-zeron (2, k);
fbelow 0; fabove 0;
//Accumulate frequency counts
for ii 1:n
if x(ii) < xclass (1)
fbelow
fbelow + 1;
elseif x(ii) > xclass (nB)
fabove fabove + 1;
else
for jj - 11k
if x(ii)
xclass(jj) & x(ii) xlass(jj+1)
fcount (jj) - fcount (jj) +1;
and
end
end
end
frel-fcount/n;
//Calculate cumulative frequencies
fcumul zeros(1,k);
fcumul(1)
fcount(1);
for ii = 2:k
fcumul(ii) - fcumul(ii-1) + fcount (ii);
end;
fcumulrel fumul/n;
//Produce summary table
disp(' ');
disp('Frequency distribution');
disp('
--====')
disp('Class LowBound UppBound Clann Mark
RelCunFreq')
Freq. RelFreq. CumFreq.
disp('
for ii 1:k
printf('85.0f $10.6g 10.6g 10.6g 10.6g 10.6g 10.6g 10.6g \n',
ii,
xclass(ii), xclass(ii+1),cmark (ii), fcount(ii), frel(ii), fcumul(ii), fcumulrel(ii))
//Sample size
//Number of class boundaries
//Number of classes
//Relative frequencies
//Relative cumulative frequencies](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F10d1760b-ca3f-4f0d-acfe-3816c93febfa%2Ff574df18-3839-4c7d-ba68-099ce1f622f4%2F5ufnr91l_processed.png&w=3840&q=75)
Transcribed Image Text://Typical call: freqdist(x,xclass)
[m n] = size(x);
[m nB]=size(xclass);
k = nB = 1;
//Calculate class marks
cmark
zeros (1,k);
for ii = 1:k
cmark (ii) = 0.5*(xclass (ii)+xclass(ii+1));
end
//Initialize frequency counts to zero
fcount-zeron (2, k);
fbelow 0; fabove 0;
//Accumulate frequency counts
for ii 1:n
if x(ii) < xclass (1)
fbelow
fbelow + 1;
elseif x(ii) > xclass (nB)
fabove fabove + 1;
else
for jj - 11k
if x(ii)
xclass(jj) & x(ii) xlass(jj+1)
fcount (jj) - fcount (jj) +1;
and
end
end
end
frel-fcount/n;
//Calculate cumulative frequencies
fcumul zeros(1,k);
fcumul(1)
fcount(1);
for ii = 2:k
fcumul(ii) - fcumul(ii-1) + fcount (ii);
end;
fcumulrel fumul/n;
//Produce summary table
disp(' ');
disp('Frequency distribution');
disp('
--====')
disp('Class LowBound UppBound Clann Mark
RelCunFreq')
Freq. RelFreq. CumFreq.
disp('
for ii 1:k
printf('85.0f $10.6g 10.6g 10.6g 10.6g 10.6g 10.6g 10.6g \n',
ii,
xclass(ii), xclass(ii+1),cmark (ii), fcount(ii), frel(ii), fcumul(ii), fcumulrel(ii))
//Sample size
//Number of class boundaries
//Number of classes
//Relative frequencies
//Relative cumulative frequencies
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