describe why you were to choose a specific method to select

describe why you were to choose a specific method to select a sample over other method. defend the method you prefer

Solution

Describe why you were to choose a specific method to select a sample over other method. Defend the method you prefer:

Sampling Methods can be grouped into one of two classes:

Probability Sampling:

In probability sampling, it is conceivable to both figure out which testing units have a place with which test and the likelihood that each specimen will be chosen. The accompanying inspecting strategies are cases of likelihood examining:

I prefer stratified and cluster sampling methods Of the five methods listed above. Stratified sampling is conceivable when it bodes well to segment the populace into bunches in view of a factor that may impact the variable that is being measured. These gatherings are then called strata. An individual gathering is known as a stratum. With stratified testing one should:

Stratified sampling works best when a heterogeneous populace is part into genuinely homogeneous gatherings. Under these conditions, stratification for the most part delivers more exact appraisals of the populace percents than gauges that would be found from a basic irregular example.

Below table shows some examples of ways to obtain a stratified sample.

Examples of Stratified Samples

Example 1

Example 2

Example 3

Population

All population in the country

All DBS intercollegiate students

All district local elementary students

Groups (Strata)

4 Time Zones in the country (east, west, north, south)

26 DBS intercollegiate teams

11 separate elementary schools in the local school district

Obtain a Simple Random Sample

500 people from each of the 4 time zones

5 students from each of the 26 DBS teams

20 students from each of the 11 elementary schools

Sample

4 × 500 = 2000 selected people

26 × 5 = 130 selected athletes

11 × 20 = 220 selected students

Cluster sampling:

Cluster Sampling is additionally a best testing strategy to favor and altogether different from Stratified Sampling. With group examining one ought to

It is vital to take note of that, not at all like with the strata in stratified examining, the groups ought to be microcosms, instead of subsections, of the populace. Each group ought to be heterogeneous. Moreover, the factual investigation utilized with group inspecting isn\'t just unique, yet additionally more confounded than that utilized with stratified examining.

Examples of Cluster Samples

Example 1

Example 2

Example 3

Population

All population in the country

All DBS intercollegiate students

All district local elementary students

Groups (Clusters)

4 Time Zones in the country (east, west, north, south)

26 DBS intercollegiate teams

11 separate elementary schools in the local school district

Obtain a Simple Random Sample

2 time zones from the 4 possible time zones

8 groups from the 26 possible clusters

4 elementary schools from the l1 possible elementary schools

Sample

every candidate in the 2 selected time zones

every student on the 8 selected groups

every student in the 4 selected elementary schools

Each of the three cases that are found in Tables was utilized to outline how both stratified and group examining could be expert. Be that as it may, there are clearly times when one testing strategy is favored over the other. The accompanying clarifications add some elucidation about when to utilize which strategy.

The most widely recognized technique for doing a survey today is utilizing Random Digit Dialing in which a machine arbitrary dials telephone numbers. A few surveys go considerably more distant and have a machine lead the meeting itself as opposed to simply dialing the number! Such \"robo call surveys\" can be exceptionally one-sided on the grounds that they have greatly low reaction rates (a great many people don\'t care for addressing a machine) and on the grounds that government law averts such calls to mobile phones. Since the general population who have landline telephone benefit have a tendency to be more seasoned than individuals who have mobile phone benefit just, another potential wellspring of predisposition is presented. National surveying associations that utilization irregular digit dialing in gathering information are exceptionally cautious to coordinate the quantity of landline versus mobile phones to the populace they are endeavoring to overview.

Non-probability Sampling

The following sampling methods that are listed in your text are types of non-probability sampling that should be avoided:

	Example 1	Example 2	Example 3
Population	All population in the country	All DBS intercollegiate students	All district local elementary students
Groups (Strata)	4 Time Zones in the country (east, west, north, south)	26 DBS intercollegiate teams	11 separate elementary schools in the local school district
Obtain a Simple Random Sample	500 people from each of the 4 time zones	5 students from each of the 26 DBS teams	20 students from each of the 11 elementary schools
Sample	4 × 500 = 2000 selected people	26 × 5 = 130 selected athletes	11 × 20 = 220 selected students