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What Statistical Test do I use for germination and how do I implement it?
Wiki User
∙ 6y ago
The answer will depend on the hypothesis that you are testing and the associated model. You could be looking at how many seed from various packets germinate and if the number of seeds in each packet is small, you could expect the numbers to follow a binomial distribution for which exact probabilities can be calculated. If the number of seeds is large then the distribution is more likely to be normal or lognormal. Or, if you are looking at how long it takes the seed to germinate, you may want to use the exponential or the Poisson distribution. If you want to study how germination is affected by soil quality (fertilizer) and watering you may want to use a Greco-Latin design and use a chi-square test. So, you see, you need to put some thought into this.
Wiki User
∙ 6y ago
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You know nothing about how to use statistical analysis to verify or test validity, do u.
What would you use a parametric test for?
* Always when the assumptions for the specific test (as there are many parametric tests) are fulfilled. * When you want to say something about a statistical parameter.
What is statistical test of hypothesis?
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What is the use of statistical inference in technology?
What is the use of statistical inference in technology?
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student's t test
Use of statistical techniques in capital market?
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How do the plants come out of the seed?
they use the process of germination
Can you put implement in a complete sentence?
implement - noun - what kind of implement do you use for weeding around the plants? implement - verb - We will implement the new policies as soon as possible.
What statistical tests can I use on data collected from quota samples?
You can use statistical tests appropriate for categorical data, such as chi-square tests or Fisher's exact test for associations between variables. For continuous data, you can use t-tests or non-parametric tests like Mann-Whitney U test or Kruskal-Wallis test. It's important to consider the limitations of quota sampling in interpreting the results.
