The errror that has occured is a False Positive error.
Explanation:
- A false positive is where you receive a positive result for a test, when you should have received a negative results.
- A false positive (type I error) — when you reject a true null hypothesis.
- The type I error rate or significance level is the probability of rejecting the null hypothesis given that it is true. It is denoted by the Greek letter alpha
False phishing is the fraudulent practice of sending emails purporting to be from reputable companies in order to induce individuals to reveal personal information, such as passwords and credit card numbers.
Answer:
Building relationships during your career exploration is called <u>networking</u>.