Statistics: Sampling Techniques Quiz

<p>Non-probability sampling method. (C)</p> Signup and view all the answers

<p>It is representative of a larger population. (D)</p> Signup and view all the answers

<p>High variability (C)</p> Signup and view all the answers

<p>Low degree of precision (D)</p> Signup and view all the answers

<p>Data with great variability (D)</p> Signup and view all the answers

<p>It leads to unreliable conclusions. (D)</p> Signup and view all the answers

<p>Low variability (A)</p> Signup and view all the answers

<p>To ensure adequate representation of minority subgroups of interest (C)</p> Signup and view all the answers

<p>Each stratum should be homogeneous as possible (C)</p> Signup and view all the answers

<p>A method for dividing a population into various distinct strata (D)</p> Signup and view all the answers

<p>To minimize bias between different strata (C)</p> Signup and view all the answers

<p>It allows for focused representation of specific subgroups (C)</p> Signup and view all the answers

<p>It gives every member of the population an equal chance of selection. (D)</p> Signup and view all the answers

<p>Ensures that every subgroup is represented adequately. (D)</p> Signup and view all the answers

<p>Random number generation or lottery methods. (D)</p> Signup and view all the answers

<p>It provides equal opportunity for each population member to be sampled. (C)</p> Signup and view all the answers

<p>It guarantees equal probability of selection for all members. (D)</p> Signup and view all the answers

<p>A sample of areas is selected first, followed by a sample of respondents within those areas. (C)</p> Signup and view all the answers

<p>Choosing a sample of areas. (A)</p> Signup and view all the answers

<p>To select a sample of respondents from the previously chosen areas. (B)</p> Signup and view all the answers

<p>Cluster sampling is an example of two-stage sampling involving areas and respondents. (D)</p> Signup and view all the answers

<p>It allows researchers to focus on specific geographic areas where data is needed. (D)</p> Signup and view all the answers

<p>Geographical contiguity (A)</p> Signup and view all the answers

<p>All units from the selected clusters (C)</p> Signup and view all the answers

<p>A group rather than an individual (D)</p> Signup and view all the answers

<p>Clusters are randomly selected from the population (D)</p> Signup and view all the answers

<p>It allows for easier data collection from geographically concentrated units (C)</p> Signup and view all the answers

A type of non-probability sampling where participants are chosen for convenience, like those easily accessible, rather than based on specific criteria.

A sampling method where every member of the population has an equal chance of being selected.

A sampling method where not all members of the population have an equal chance of being selected.

A statistical method used to estimate population characteristics from a sample.

A sampling method useful for understanding a specific community or specific health issue.

A measure of how spread out data points are from the average.

How accurately something can be measured.

A population in which individuals have a wide range of characteristics.

Something that's not suitable for a population with high variability because it won't accurately measure the data.

Low Precision

A sampling method where every individual in the population has an equal chance of being chosen.

It can be challenging to create a truly random sample, especially for large populations.

It might not be representative of the entire population if the sample is too small.

It can be time-consuming and expensive to reach every member of the population.

It is the foundational method for many other probability sampling techniques.

Dividing a population into smaller groups based on shared characteristics, ensuring fair representation of subgroups.

Within each stratum, individuals should be similar to one another regarding the characteristic being studied.

The goal is to ensure that each subgroup of interest in the population is adequately represented in the sample.

Stratification helps to reduce bias and increase the accuracy of the results.

Examples of strata could include age, gender, ethnicity, socioeconomic status, or geographic location.

A sampling technique where a sample of areas (like neighborhoods or blocks) is selected, and then a sample of individuals is chosen from within those areas.

A specific type of sampling where the sampling process is divided into two distinct stages.

The first step in cluster sampling, where a selection of areas or groups is made.

The second step in cluster sampling, where a selection of individuals is made within the previously chosen areas or groups.

A way to gather data efficiently, especially useful when studying a large, geographically dispersed population.

Groups of individuals within a cluster sample are typically similar in their characteristics. This homogeneity allows for efficient data collection within each group.

The entire population is divided into clusters, which act as the sampling units. A sample of these clusters is then randomly selected. All members of the selected clusters are studied.

This sampling method is often used in situations where it is difficult or impractical to get a random sample from the entire population.

Cluster sampling can be efficient and cost-effective for large populations, but it may not be suitable for situations where clusters are very diverse or where there is high variability within clusters.