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Why was it important for Mendel such a large sample of peas plants to determined the probability of inheritance?
Answer D- A higher sample size gives more accurate results- APEX LEARNING
What sample size is sufficient for stat?
A sample size of one is sufficient to enable you to calculate a statistic.The sample size required for a "good" statistical estimate will depend on the variability of the characteristic being studied as well as the accuracy required in the result. A rare characteristic will require a large sample. A high degree of accuracy will also require a large sample.
What is the benefit of using a large sample size in an experiment?
Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.
Which is more effective in minimizing instrument error in an experiment?
having a large sample size
Describe how the sample size affects the standard error?
Standard error (which is the standard deviation of the distribution of sample means), defined as σ/√n, n being the sample size, decreases as the sample size n increases. And vice-versa, as the sample size gets smaller, standard error goes up. The law of large numbers applies here, the larger the sample is, the better it will reflect that particular population.
Can anyone give an ENGLISH meaning for Density?
Well it's kind of hard since Density is a MATHEMATICAL concept, not an ENGLISH concept. Oversimplifcation: Density is a comparison between how much a sample of something weighs compared to its size. If a small size sample is heavy, then it has high Density. If a large size sample is light, then it has low Density.
What is sample and sample size means?
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What is a sample size?
When something is a sample size, that means it is smaller than the size that is normally available for purchase. Sample size products are usually enough to let you try something before you buy it.
How do you determine an adequate sample size?
A sample size is needed whenever you conduct an experiment. How you determine an adequate sample size depends on the scope of what you're testing, such as medications.
Why is sample size important in determining probability?
The bigger the sample size the more accurate the results will be. For example, if you roll a 6 sided die and track the results to get the probability of rolling a six. If you only roll 6 times, then you may not even get one 6 or you could get a few. A small sample size means you won't get very reliable results.
Why would having a larger sample size be a better idea than having a samll sample size when doing an experiment?
less bias and error occur when sample size is larger
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
