In the following situation, the sampling frame does not match the population, resulting in under coverage. give examples of population members that might have been omitted.
the population consists of all 250 students in your large statistics class. you plan to obtain a simple random sample of 30 students by using the sampling frame of students present next monday. (select all that apply.)
--students who are not taking statistics cannot be sampled.
--students who are on a school trip cannot be sampled.
--dropouts cannot be sampled.
--students who are skipping class cannot be sampled.
--home-schooled students cannot be sampled.
--students who are out sick cannot be sampled.
ok, i thought it was all of them because i believed it meant that anyone who would not be in the stats class on monday was out of the sampling frame. however, when i entered that, it was incorrect.

d

step-by-step explanation:

given

y + 3 = - 4(x - 2) ← distribute the parenthesis

y + 3 = - 4x + 8 ( subtract 3 from both sides )

y = - 4x + 5 → d

introduction, methodology, results, discussion

step-by-step explanation:

an observational study is one which consists of actual observation to record data and then analyse the data.

there are a number of factors that should be analyzed before starting an observational study.

the main four factors are:

i) introduction:   this should be analysed to check whether the purpose of the study is correctly established and the data recorded are appropriate for the study

methodology:   the method of collecting the data, such as whether randomly selected, and whether sample size matches with the population to be studied, whether questions asked are easy to answer by common men, etc.

results: then results such as summary of data with comments should be studied thoroughly

discussion:   the last is the discussion, this can be either by management people or persons who are all interested , etc.