The four sampling method descriptions given correspond to Systematic Sampling, Simple Random Sampling, Convenience Sampling, and Stratified Sampling, respectively. These methods are crucial for obtaining a representative sample of a population in statistical studies.
Matching sampling method descriptions with their respective names:
Every 5th House: This method is known as Systematic Sampling, where every 'kth' item is selected from a list or sequence. In the provided example, every fifth house on a street is chosen.
Random Selection of Names from a Phone Book: This is an example of Simple Random Sampling, where each member of the population has an equal chance of being selected.
Convenient Sampling at a Local Mall: This approach represents Convenience Sampling, where the sample is taken from a group of people easy to contact or to reach.
Stratified Sampling of Students: This example is Stratified Sampling, where the population is first divided into strata, and then samples are randomly chosen from each stratum.
These sampling methods are essential tools in statistics, helping researchers gather diverse and representative data without surveying the entire population. Each method has its own advantages and is used based on the specific requirements of the study.
The probable question may be:
Match the sampling method descriptions with their respective names:
Descriptions:
Every 5th House: In this method, every fifth house on a street is selected for inclusion in the sample.
Random Selection of Names from a Phone Book: Names are randomly chosen from a phone book to form the sample.
Convenient Sampling at a Local Mall: Individuals are selected for the sample based on their convenience and proximity to a local shopping mall.
Stratified Sampling of Students: Students are divided into different strata based on grade levels, and samples are randomly chosen from each stratum.
Sampling Methods:
A. Simple Random Sampling
B. Systematic Sampling
C. Convenience Sampling
D. Stratified Sampling
Additional Information:
Imagine you are conducting a study to understand different sampling methods in a community. For instance, in a town survey, you might decide to select houses every 5th on a street, or you could randomly pick names from a phone book. Alternatively, if you are studying shopping habits, you might choose a convenient sampling method at a local mall, or if your focus is on students, you might opt for a stratified sampling approach based on grade levels. Understanding these methods helps researchers gather diverse and representative data.