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How do you determine the accurate sample size in research?
Before you can calculate a sample size, you need to determine a few things about the target population and the level of accuracy you need:
- Population size. How many people are you talking about in total?
- Margin of error (confidence interval)
- Confidence level.
- Standard deviation.
Can you run Anova with unequal sample sizes?
You can perform one way ANOVA with unequal sample sizes. You must consider the assumptions of Normality, equality of variance and independence ( that mentioned by Saigopal ) before using ANOVA and in a case of not correct assumption then you must use non-parametric test ( Kruskal-Wallis test ).
Which is the best definition of disproportionate stratified sampling?
disproportionate stratified sampling Quick Reference A sampling method in which the size of the sample drawn from a particular stratum is not proportional to the relative size of that stratum.
What are the disadvantages of disproportional sampling?
Disadvantages of Disproportional Sampling. Generally, disproportional sample tend to be less accurate and reliable compared to a stratified sample since mathematical adjustments are done during the analysis of the data. This process increases the chance of encountering errors in data analysis.
How to calculate a statistic for a sample size?
To calculate the test statistic, do the following: for each sample. To do this let n 1 and n 2 represent the two sample sizes (they don’t need to be equal). For rho_1, divide the number of individuals in the first sample who have the characteristic of interest by n 1.
How can I compare groups with unequal sample sizes?
I have two datasets containing Z-score data. However both of them are of highly different sizes, i.e one has 500 samples while the other has 4. I want to determine if the differences between the samples is statistically significant.