Gettier contributed to what we know about the exemplar model, while Rosch contributed to what we know about the prototype model. Prototype and exemplar theories are both versions of statistical theories of concepts. Prototype theories hold that concepts represent categories by means of a summary of the typical properties that category members possess, while exemplar theories hold that concepts represent categories by means of a cluster of individual category members that may be used to extract the statistical central tendency of the category.
Answer:
The following code is in python.
import statistics as st #importing statistics which include mean function.
def average(lst): #function average.
return st.mean(lst)#returning mean.
lst=a = list(map(int,input("\nEnter the list : ").strip().split()))#taking input of the list..
print("The average is "+str(average(lst)))#printing the average.
Output:-
Enter the list :
1 2 3 4 5 6
The average is 3.5
Explanation:
I have used the statistics library which includes the mean function that calculates the mean or average of the list.In the function average having lst as an argument returns the mean of the list lst.
Then taking lst input from the user and printing it's average.
It has to be two people answering.Then vote braniest to who's answer you think is better.
