a social group can be defined as two or more people who interact with one another, share similar characteristics, and collectively have a sense of unity. Other theorists disagree however, and are wary of definitions which stress the importance of interdependence or objective similarity. Instead, researchers within the social identity tradition generally define it as "a group is defined in terms of those who identify themselves as members of the group."[3] Regardless, social groups come in a myriad of sizes and varieties. For example, a society can be viewed as a large social group.
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Answer:
D
Explanation:
I know FOR SURE that A, B, and C are correct, so D isn't
The answer is either the second one or the fourth one.
Answer:
Scientific ideas are changed when better ones are found.
Explanation:
Considering the definition of probability, the correct answer is third option: the approximate probability of a moth being brown and yellow respectively is 33% and 21%
Probability is the greater or lesser possibility of a certain event occurring.
In other words, probability establishes a relationship between the number of favorable events and the total number of possible events.
Then, the probability of any event A is defined as the quotient between the number of favorable cases (number of cases in which event A may or may not occur) and the total number of possible cases. This is called Laplace's Law.

In this case, you know that in a moth population, 48 are brown, 30 are yellow, and 67 are black. So, the total number of possible cases is calculated as:
total number of possible cases= 48 + 30 + 67= 145
The number of favorable cases for a moth to be brown is: 48
Then the probability that a moth is brown is calculated as:
= 0.33= 33%
On the other side, the number of favorable cases for a moth to be yellow is: 30
Then the probability that a moth is yellow is calculated as:
= 0.21= 21%
In summary, the correct answer is third option: the approximate probability of a moth being brown and yellow respectively is 33% and 21%
Learn more about probability: