Answer:
arson,kidnapping and murder
Answer:
Confirmation bias is the tendency for people with strong prior beliefs, when confronted with a choice, to make their decisions based on assumptions they’ve already made.
Explanation:
Confirmation bias is a tendency in human behavior to unknowingly be selectively aware of information that confirms our own perceptions. Confirmation bias is a type of cognitive bias.
If you have a negative self-image, you tend to get stuck on criticism and not hear praise. Scientific researchers, too, tend to be selectively aware of research results that are consistent with their own theory and unconsciously ignore those that contradict it. A confirmation bias risks leading to a superstition on personal opinions, while rebuttal and alternative sources are ignored. This can lead to disastrously wrong decisions, especially in scientific, political and military contexts.
Answer:
C. Happy people are more likely to send a lot of tweets than sad people
Explanation:
- If the researcher wants to find out the relationships between the tweets and the happiness of the people and he comes to a conclusion that a positive correlation exists as the number of the people that are happier are more likely to send more tweets than those of the sad people and thus concluded that a strong correlation exists when people give more tweets are considered or reported to be happy.
Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
