Computer simulation is just like training for example before pilot fly plane they got training from computer simulation it's just like video lecture
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.
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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
The application program that saves data automatically as it is entered is the MS Access.
Answer:
bears = {"Grizzly":"angry", "Brown":"friendly", "Polar":"friendly"}
for bear in bears:
if bears[bear] == "friendly":
print("Hello, "+bear+" bear!")
else:
print("odd")
Explanation:
A dictionary called bears is given. A dictionary consists of key-value pairs.
You need to check each key-value pairs in bears and find the ones that have "friendly" as value using a for loop and if-else structure. In order to access the values of the dictionary, use the dictionary name and the key (inside the loop, the key is represented as bear variable). If a key has a value of "friendly", print the greeting. Otherwise, print "odd".
