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# under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

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1.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling? 20 (a) The population can be divided into a large number of strata so that each stratum contains only a few individuals.

2.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Stratified random sampling differs from simple random sampling, which involves the random selection of data from an entire population, so each possible sample is equally likely to occur. 1:40 …

3.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Stratified Random Sample vs. Simple Random Sample . Unlike a stratified random sample that contains sampling units from each distinct stratum that have a known, non-zero chance of being selected, a simple random sample is one without subgroups. Instead, every unit of the sample has an equal chance of being included in the sample. ﻿

4.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

under which of the following conditions is it preferable to use stratified rand sampling rather than simple random sampling? c. the population can be divided into strata so that the individuals in each stratum are as much alike as possible

5.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Usually, the stratified random sampling will overall perform better because we usually use stratified random sampling when the stratum are more homogeneous. There is no reason that the classes are more homogeneous in weight, and therefore there is no reason why this stratified random sampling is any better than a simple random sampling.

6.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Simple Random vs. Stratified Random Sample: An Overview . In statistical analysis, the “population” is the total set of observations or data that exists.However, it is often unfeasible to measure …

7.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Stratified sampling works best when a heterogeneous population is split into fairly homogeneous groups. Under these conditions, stratification generally produces more precise estimates of the population percents than estimates that would be found from a simple random sample. Table 2.2 shows some examples of ways to obtain a stratified sample.

8.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

stratified random sample. E) Thoses who did not respond were indistinguishable from those who did not receive the survey. 10) 11) Under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

9.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

A stratified sample can also be smaller in size than simple random samples, which can save a lot of time, money, and effort for the researchers. This is because this type of sampling technique has a high statistical precision compared to simple random sampling.

10.under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

Each person in a simple random sample of 2,000 received a survey, and 317 people returned their survey. How could non-response cause the results of the survey to be biased? 6. Under which of the following conditions is it preferable to use stratified random sampling rather than simple random sampling?

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The purpose of this paper is to offer a new framework for understanding action, optimization, and choice when applied to economic theory more generally. By drawing upon the concept known as the variational free energy principle,

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### Wikipedia based search results

1.Sampling (statistics)

because all sampled units are given the same weight. Probability sampling includes: Simple Random Sampling, Systematic Sampling, Stratified Sampling, Probability…

2.Analysis of variance

analysis of variance can be used as an exploratory tool to explain observations. A dog show provides an example. A dog show is not a random sampling of the breed:…

3.Histogram

_{i=1}^{k}(m_{i}-{bar {m}})^{2}} . Rather than choosing evenly spaced bins, for some applications it is preferable to vary the bin width. This avoids bins with…