Question

A survey was to be conducted in a large city concerning the reading ability of students in grade 5. To conduct the survey, a sample of students was to be obtained and a standardized test of their reading ability administered to the selected students. The researchers selected a random sample of four school divisions within the city; they then picked a random sample of three elementary schools within each of the selected school divisions. Since there were many grade 5 classes in these selected schools, a further sample of one class from each selected school was picked at random and all the students in that selected class were given the reading test. The sample of students was selected using which type of sample design?

1.A multistage sample design

2. A simple random sample (SRS) design

3. A systematic random sample design

4. A stratified random sample design with an SRS from each stratum

5. A volunteer sample design of students

Answer 1

answer:

In insights, multistage examining is the taking of tests in stages utilizing littler and littler inspecting units at each stage.

Multistage testing can be a mind boggling type of bunch inspecting in light of the fact that it is a kind of examining which includes isolating the populace into gatherings (or groups). At that point, at least one bunches are picked indiscriminately and everybody inside the picked group is examined.

Utilizing all the example components in all the chose groups might be restrictively costly or pointless. Under these conditions, multistage bunch examining winds up helpful. Rather than utilizing every one of the components contained in the chose bunches, the specialist arbitrarily chooses components from each group. Developing the bunches is the main stage. Choosing what components inside the bunch to utilize is the second stage. The method is utilized much of the time when a total rundown of all individuals from the populace does not exist and is improper.

At times, a few levels of bunch choice might be connected before the last example components are come to. For instance, family overviews directed by the Australian Bureau of Statistics start by isolating metropolitan locales into 'gathering areas' and choosing a portion of these accumulation regions (first stage). The chose gathering locale are then separated into squares, and squares are looked over inside each chosen accumulation region (second stage). Next, homes are recorded inside each chosen square, and a portion of these abodes are chosen (third stage). This strategy makes it superfluous to make a rundown of each abode in the area and fundamental just for chose squares. In remote territories, an extra phase of bunching is utilized, with the end goal to diminish travel requirements.

In spite of the fact that bunch examining and stratified testing bear some shallow likenesses, they are generously unique. In stratified testing, an arbitrary example is drawn from every one of the strata, where in group inspecting just the chose bunches are considered, either in single-or multi-org

correct answer :option A [ A multistage sample design ]