Question

Sampling Technique Scenarios Directions: For each question below, please select the technique that most closely matches the description 1. You want to investigate the voter's opinions on an upcoming issue for your city. The city that you live in has 12 different neighborhoods. You randomly select 10 registered voters from each neighborhood and contact them to ask for their opinion. Select an answer Simple Random Sample Stratified Random Sample a quality control specialist. You want to check the current production of own to the factory floor assembly line and randomly choose the first item to y 15th item that comes off the assembly lines until you have inspected 20 Cluster Random Sample Systematic Random Sample Convenience Sample e theme park, and a team of journalists wants to interview some customers. Jses 5 of the rides and interview all of the people exiting those rides. Select an answer 4. You want to investigate the voter's opinions on an upcoming issue for your city. You obtain a list of the registered voters and randomly select 100 names. You contact each of the randomly chosen voters and ask for their opinion. Select an answer 5. In a city, a list was obtained from each of the 5 neighborhoods in town, and five people were randomly chosen from each neighborhood to be interviewed by the city mayor. Select an answer > Next Question
this one to see the choice they have

this one have all the questions

this one need short answer

I answer no because the number add up is not to 100 one of them are 101 the other 98 or 99 but the answer is wrong

please tell me if you know

Answer 1

Sampling technique sanareds 1. Stratified Random IT Sample 2, Systematic Randon Sample Random sample. cluster 3 - Random sample. 4. Simple 5 Convinience Sample

Stratified random sampling is a sampling method that involves taking samples of a population subdivided into smaller groups called strata.

Stratified random sampling involves taking random samples from stratified groups, in proportion to the population.

Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval (the sampling interval).

Cluster sampling refers to a type of sampling method . With cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts his analysis on data from the sampled clusters.

Simple random sampling refers to a sampling method that has the following properties.

The population consists of N objects.

The sample consists of n objects.

All possible samples of n objects are equally likely to occur.

An important benefit of simple random sampling is that it allows researchers to use statistical methods to analyze sample results.

Convenience sampling (also known as availability sampling) is a specific type of non-probability sampling method that relies on data collection from population members who are conveniently available to participate in study. Facebook polls or questions can be mentioned as a popular example for convenience sampling.

Convenience sampling is a type of sampling where the first available primary data source will be used for the research without additional requirements. In other words, this sampling method involves getting participants wherever you can find them and typically wherever is convenient.

12 300 P [Helped and Republican] PE Helped = 1 P[ Republican] = 100 F5 300 -: P[Heaped and Republican] & P[ Helped] x P[ Republican] nasiasees 2 are said to be independent if for all the levels the variable; P[ano] = P[A] XP [B] is valid; of

any are 12 A and B where levels of the variables. If for any combination of A and B; PIA no] P[A] & P[B] then; are is not independent. occurs variables