Data Analysis at School To take a sample of the student population that would not represent the population well, Susan could choose to use a convenience sampling method. This involves selecting individuals who are easily accessible or available, such as asking for volunteers or selecting students who happen to be nearby. This method would not be representative...
Data Analysis at School
To take a sample of the student population that would not represent the population well, Susan could choose to use a convenience sampling method. This involves selecting individuals who are easily accessible or available, such as asking for volunteers or selecting students who happen to be nearby. This method would not be representative of the entire student population because it may not include students who are less visible or less likely to volunteer, and it may over-represent certain groups or demographics.
To take a sample of the student population that would represent the population well, Susan could use a stratified sampling method. This involves dividing the population into subgroups based on some characteristic, such as grade level or gender, and then randomly selecting individuals from each subgroup in proportion to their representation in the overall population. This method would ensure that the sample includes a representative number of students from each subgroup, and would provide a more accurate picture of the entire student population.
A sample is a subset of a population that is selected in order to make inferences or draw conclusions about the larger population. The relationship between a sample and a population is that a sample is drawn from the population, and the characteristics of the sample can be used to estimate or infer the characteristics of the population. The two samples described above can be classified as convenience sample and stratified sample.
Based on the data, Susan can see that the high school has a total of 1,000 students, with an equal number of males and females. She can also see that there are differences in the number of students by grade level, with the most students in 12th grade and the fewest in 9th grade. Susan can use the data to stratify the population by grade level, which can help ensure a representative sample when selecting a movie to show. Susan can also use the data to stratify the population by gender, which can help ensure that both males and females are represented in the sample.
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