What is over-sampling? What are the advantages and disadvantages of critical sampling?   What is under-sampling? What are the advantages and disadvantages of critical sampling?

Q: When does Random sampling can be very difficult?

A: Simple random sample: In a simple random sample, each unit in the population has the equal chance of…

Q: What is the main advantage of probability sampling over the nonprobability sampling? State three…

A: Given that  advantage of probability sampling over the nonprobability sampling? State three…

Q: what is the difference between sampling with replacement and without replacement?

A: Sampling with out replacement :  if a sample is drawn from a population and all units in population…

Q: Define random sample. Explain why this is important in design of experiments.

A: A random sample is a sample that is obtained by selecting the sample points randomly without any…

Q: What are the main reason for using cluster sampling?  What is the single and two stage of cluster…

A: Cluster sampling: Cluster sampling is a sampling method in which the entire population of the study…

Q: What is a sampling error? How does it differ from other sources of error? In general, how does the…

A: The total or entire group of data that are subject to study is regarded as population. Sample, on…

Q: Importance of explanatory research approach and simple random sampling techniques

A: Simple Random Sampling :  It is the technique of drawing a sample in such a way that each unit of…

Q: What is True Sampling Distribution?

A:

Q: What is Cluster sampling and Explain with an example of research which uses cluster sampling.

A: Population is the complete set of people or objects with certain common characteristics under the…

Q: Differentiate attribute sampling from variable sampling plan.

A: There are two types of sampling plan Attributes  Variables plan

Q: What is statistical inference ? How do you conduct a comparative experiment ?

A: “Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: Why Should Multiple Sampling Methodologies Be Considered For Health Care Research?

A: Given that - Why Should Multiple Sampling Methodologies Be Considered For Health Care Research?

Q: What are some examples of when to use pooled sample testing?

A: We say that samples are pooled when units that might be measured separately are processed together…

Q: Define significance of Random sampling?

A:

Q: When does sampling with replacement and sampling without replacement yield approximately the same…

A: Introduction: Sampling with replacement and sampling without replacement are two ways of conducting…

Q: Discuss what is the relationship between sample size and sampling error?

A:

Q: What is the statistical inference? How to conduct a comparative experiment?

A: Concept:Statistical inference is a process of drawing inferences using statistical procedure.

Q: What test can we use to determine the sample size needed?

A: Confidence intervals for a parameter take the following general form: Point Estimate ± Margin of…

Q: Explain Large-Sample Approximations to Sampling Distributions?

A: From the given information, Large sample approximation: In statistics, small sample and large…

Q: What are the two more properties of Hypothesized Sampling Distribution?

A: In order to draw inference about a certain phenomenon, sampling is a well accepted tool. Entire…

Q: What is a sampling error and how does it differ from other sources of error, how does it increase…

A: Sampling Error is the error obtained from sample values with respect to the population value.…

Q: True or false Systematic sampling is preferable to convenience sampling.

A: Systematic sampling: When the population units occur in a sequence or pattern and a sample of size n…

Q: True or False: Random sampling helps us rule out alternative explanations in an experiment.

A: We have given that a 5 statement about the random sampling.

Q: The process of random sampling guarantees that the sample selected will be representative of the…

A: Given: provided a statement

Q: Explain the difference between cluster sampling and stratified random sampling

A: Random sampling: In random sampling method, each units in the population has equal chance to be…

Q: What does it mean when sample results are not statistically significant?

A: statistically significant: In principle, a statistically significant result (usually a difference)…

Q: What are the risks of sampling errors?

A: The errors involved in the collection, processing, and analysis of a data may be classified as:…

Q: Why do you need to know the sampling distribution of the difference between two sample means in…

A: In this case, we need to find the reason for identifying the sampling distribution of the difference…

Q: explain why two parameters are used in a two sample test

A: Here in the two parameters we take in two sample t-test because, we take samples from two…

Q: • When might a small sample size be appropriate in a study? •When is a very large sample size…

A: When the sample size is ideal then a sample size can be appropriate in a study. The ideal sample…

Q: When is it appropriate to use a pooled sample test?

A: It is to determine when there is to use pooled sample test. There are some situation in testing we…

Q: Why is it wrong to say that sampling bias is unavoidable?

A: Bias is error. Sampling bias is due to taking a fraction of the population not the entire…

Q: Explain the concept of sampling distribution, standard errors, and statistical inference?

A: Infer means conclusions. Statistical inference draws conclusion about a given population or other…

Q: What are the advantages of sampling over a census?

A: Population: In statistical enquiry our interest lies about gathering information about some…

Q: Compare and contrast sampling error and standard error with emphasis on the distinction between the…

A: Here we need to compare and contrast sampling error and standard error.

Q: What is Hypothesized Sampling Distribution?

A: In order to draw inference about a certain phenomenon, sampling is a well-accepted tool. Entire…

Q: Differences between  stratified sampling and cluster sampling

A: Sampling methods: Stratified sampling Cluster sampling

Q: What is the difference between sampling and  permutation

A: Given Sampling and Permutation  We have to write the difference between sampling and permutation.

Q: Stratified sampling is one of the examples of ____________ sampling design ?

A: There are two types of sampling designs: 1) Probability sampling design: In this technique every…

Q: Explain how sample size can influence the outcome of a hypothesis test.

A: Lets take the example that we are doing Hypothesis test for one mean with sample size n : When the…

Q: State the differences and similarities between simple random sampling procedure and systematic…

A: Comparison of Simple random sampling and systematic sampling.

Q: What is sampling risk? How does it occur?

A: Sampling risk: Sampling risk is a risk that arises when the judgements based on the sample varies…

Q: What was the need of circular systematic sampling

A: In circular systematic sampling , a sample starts again from the same point once again after ending;…

Q: hat are the goals of random sampling? Can these goals be accomplished by randomizing participants…

A: Random Sample is a subset of people from the population done by the researchers to represent the…

Q: Is sampling always reliable?

A: