Because you never know if the person over the phone is trying to scam you or not, so if you were to give them your ssn they would use your identity for stuff that they want. I hope this helps :)
Answer:
The process of sifting through the system databases and finding the relevant data to analyze is known as data mining. In predictive data mining, the process uses algorithm-based tools to go through the database and to look at the transactions to support the prediction of future volumes of the transactions. It is the task of the analytics team. It is often used with, predictive analytics. The predictive analytics is the use of data to forecast the results
Answer:
The answer to this question is given below in the explanation section.
Explanation:
In this given program there are two errors, first in line number 2 that stores a string value, not int. The second error is at line 6, a symbol "*" represents multiplication, not addition.
To solve these errors, in line #2, convert the input to an int variable value 1. To add the values of variables (value1 and value2), use the plus symbol "+" in the print statement at line #6.
The correct program is given below:
<em>value1= int(input("Enter first number: "))</em>
#get second number and store it into value2 variable.
<em>value2= int(input("Enter second number: "))</em>
#add the values store in variables (value1 and value2) and then print
<em>print (value1 + value2)</em>
Answer:
Like other aspects, family background also affects the entreptrneurial behaviour of people as entrepreneurship directly depends on people and people are affected to big extent by the family background.
Explanation:
- According to the research statistics 25% of the variation in decisions of individuals to become employed to self is explained by family background and influence of the community.
- It also suggested that the entrepreneurship depends upon sibling correlation and shared genes.
- It is greatly affected by characteristics of parents and family members including sibling peer effects, income, education, self employment, neighbourhood effects and incorporation.
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