The probability that <em>a college student is involved in a club and studies 4 or more hours per day </em>is <em>9.92%.</em>
Data and Calculations:
College student population = 10,000
Students involved in a club = 35.7% or 3,570 (10,000 x 35.7%)
Students who studied 4 or more hours per day = 27.8% or 2,780 (10,000 x 27.8%)
Students who involved in a club or studied 4 or more hours per day = 53.4% or 5,340 (10,000 x 53.4%)
The probability that a student, who is involved in a club, studies 4 or more hours per day is 9.92% (35.7% x 27.8%).
Thus, the probability that a <em>student involves in a club and studies 4 or more hours per day</em> is 9.92% or <em>992 students out of 10,000.</em>
Learn more about probabilities here: brainly.com/question/7965468
Answer:
Sampling
Explanation:
Sampling is a statistical procedure in which a selected number of observations is used to represent the whole observation. When we take an area and we use the population to estimate that of other areas or the whole population, we are simply sampling. Sampling is very important to some specific forms of observations. Sampling can be done randomly or in a systematic way. The goal of sampling is using the part to represent the whole.
I think it's C i'm sorry if i'm wrong.
The sun hits bodies of water (ponds, oceans, pools, puddles) and it evaporates into a gas known as water vapor which goes up and forms a cloud. When the cloud gets heavy the water condensates back into little droplets and falls back to the ground. This is rain.
