The options listed are not related to the question. and if they were related in any sense then I would say the cheapest thing on the list is a phone card so I guess you can buy that and save the most for your travel as you can use phone cards anywhere as they have 1800 numbers which are free from any public phone.
Answer:
Consider the following code.
Explanation:
save the following code in read_and_interp.m
function X = read_and_interp(s)
[m, n] = size(s);
X = zeros(m, 1);
for i = 1:m
if(str2num(s(i, 2:5)) == 9999)
% compute value based on previous and next entries in s array
% s(i, 2:5) retrieves columns 2-5 in ith row
X(i,1) = (str2num(s(i-1 ,2:5)) + str2num(s(i+1,2:5)))/2;
else
X(i,1) = str2num(s(i,2:5));
end
end
end
======================
Now you can use teh function as shown below
s = [ 'A' '0096' ; 'B' '0114' ; 'C' '9999' ; 'D' '0105' ; 'E' '0112' ];
read_and_interp(s)
output
ans =
96.000
114.000
109.500
105.000
112.000
Noise usually means static.
The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
<h3>What is Spearman correlation used for?</h3>
Spearman's correlation is known to be one that tends to look into or measures the strength and way of monotonic relationship between two variables.
It is one that is a nonparametric measure that is often known to be rank correlation and it tends to examine how well the association between two variables can be said to using a monotonic function.
Hence, The correlation that is obtained when the pearson correlation is computed for data that have been converted to ranks is option A) The Spearman correlation.
Learn more about correlation from
brainly.com/question/12479370
#SPJ4
See full question below
) What correlation is obtained when the Pearson correlation is computed for data that have been converted to ranks?
A) The Spearman correlation
B) The point-biserial correlation
C) The phi coefficient
D) It is still called a Pearson correlation
Answer:
graficar una lista de entradas
graficar una lista de entradas
crear un nuevo objeto
condiciones de prueba
romper un ciclo
romper un ciclo
Explanation:
