An important part of employee compensation is a benefits package, which might include health insurance, life insurance, child care, vacation days, retirement plan, parental leave, bonuses, etc. Suppose you want to conduct a survey of benefits packages available in private businesses in Hawall. You want a sample size of 100. Some sampling techniques are described below. Categorize each technique as simple random sample, stratified sample, systematic sample, cluster sample, or convenience sample. (a) Assign each business in the Island Business Directory a number, and then use a random-number table to select the businesses to be included in the sample. O simple random sample O stratified sample O systematic sample O duster sample O convenience sample (b) Use postal ZIP Codes to divide the state into regions. Pick a random sample of 10 ZIP Code areas and then include all the businesses in each selected ZIP Code area. O simple random sample O stratified sample O systematic sample O duster sample O convenience sample (c) Send a team of five research assistants to Bishop Street in downtown Honolulu. Let each assistant select a block or building and interview an employee from each business found. Each researcher can have the rest of the day off after getting responses from 20 different businesses. O simple random sample O stratified sample O systematic sample O duster sample O convenience sample

Q: For the scenarios below, determine which sampling method was used (simple random, cluster,…

A: Introduction :-  For the scenarios given, we have to determine which sampling method was used…

Q: What is the mean of the sampling distribution of sample means? (Please enter an exact answer.)

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A: In the systematic sample we select sample after the fixed interval.

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Q: Give real life examples of simple random sampling and stratified sampling

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A: We have find Sampling find use..

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Q: What sampling techniques should be used while establishing if someone is happy or not?

A: Here we want to establish sampling technique if someone happy or not.

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A: The objective is to identify the sampling technique for the given scenario:

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Q: Explain the concept ofrepresentative sampling.

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Q: State one similarity and one difference between quota sampling and stratified random sampling.

A: Please find the explanation below.

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A: we explain in the following.

Q: ethod? Select all that apply

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Q: Give me an example of systematic sampling and simple random sample

A: Given : Systematic sampling   Simple random sample

Q: Explain how a sampling distribution of a sample can be constructed.

A:

Q: What is the notion of sampling distribution?

A:

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.