The first one, Accessing is so important .
Answer: Stratified sample
Explanation:
For preparing samples of various data of companies and enterprises we need to apply probability distribution to different samples of data. Here in the question we are to apply a representative sample from a list of 200 customers who have complained about errors in their statement. So here we can apply stratified sampling where we can divide the 200 customers into separate groups. These sub groups of the customers are known as stratas. These stratas are selected based on certain characteristics which can be identified among the customers group. Here we can form subgroups based on the type of complain that has been lodged by the customer and selecting 5 customers from four zip codes. Then it would be easy to apply probability distribution to the sub groups to derive information from them.
This process would also enable a more easier and cheaper way of sampling the customer data.
Answer:
The program in Python is as follows:
word = input("Word: ")
if len(word) < 5:
print("At least 5 characters")
else:
pal = word[0:5]
word = word[0:4]
word = word[::-1]
pal+=word
print(pal)
Explanation:
This gets the word from the user
word = input("Word: ")
This checks if the length of the word is less than 5.
if len(word) < 5:
If yes, this tells the user that at least 5 characters is needed
print("At least 5 characters")
If otherwise
else:
This extracts the first 5 characters of the word into variable named pal
pal = word[0:5]
This extracts the first 5 characters of the word into variable named word
word = word[0:4]
This reverses variable word
word = word[::-1]
This concatenates pal and word
pal+=word
This prints the generated palindrome
print(pal)
