0
Some considerations are:
- large samples take more time and money to process
- if the characteristic of interest is very variable then a large sample is required for accurate estimates
- if the characteristic of interest is very rare in the population then a large sample is required to ensure that units with that characteristic are included in the sample
- the greater the accuracy required of the estimates based on the sample, the larger the sample required.
Add your answer:
Earn +20 pts
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
Does sample size affect survey result?
Yes, sample size can significantly impact survey results. A larger sample size generally provides more representative and reliable results compared to a smaller sample size. With a larger sample size, the margin of error decreases, increasing the accuracy of the findings.
What is the difference between sample size and sample unit?
sample size is the specific size of a thing like the how long or wide. while sample unit is the whole thing not referring to specific number size.
What is the sample size definition?
Sample size is the number of samples arawn from a population. If you drew 20 samples, your sample size would be 20.
Factors to consider in determining sample size?
Factors that determine sample size
Will margins of error for sample of size 80 be larger or smaller than those for sample size of 40?
They should be smaller for the sample size 80.
What is sample and sample size means?
k
In basic statistics what is sample size and effective sample size?
sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.
how can i determine sample size in cluster sampling?
Determining the ideal sample size in cluster sampling involves several factors. Here's a breakdown of the key considerations: Factors Affecting Sample Size: Desired Precision: The level of accuracy you want in your results. Higher precision requires a larger sample size. Intra-Cluster Correlation (ICC): This measures how similar units within a cluster are compared to units from different clusters. A higher ICC means you need a larger sample size to account for the clustering effect. Cluster Size: The average number of units within each cluster. Smaller cluster sizes typically require a larger number of clusters to achieve the same level of precision. Confidence Level: The level of certainty you want in your findings. A higher confidence level (e.g., 95% vs. 90%) typically necessitates a larger sample size. Calculating Sample Size: Unfortunately, there's no one-size-fits-all formula for sample size in cluster sampling. However, there are statistical software programs and online calculators that can help you determine the appropriate sample size based on the factors mentioned above. Here are some resources that can be helpful: Sample Size Calculators: Guides on Cluster Sampling and Sample Size: Additional Tips: Pilot Study: Consider conducting a pilot study on a smaller sample to estimate the ICC and refine your sample size calculations. Software or Statistical Help: If you're not comfortable with statistical calculations, consider using specialized software or consulting a statistician for assistance in determining the optimal sample size for your cluster sampling design.
What is the sample size for a population of 60010?
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
What is the sample size for a population of 8000?
Sample size = SQRT(8000) +1 =90
