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Why do you use a large sample size when conducting an experiment?
Better the results
Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?
Answer D- A higher sample size gives more accurate results- APEX LEARNING
What are some assumptions that must be made in order to use a sample to describe a population?
Some assumptions that must be made in order to use a sample to describe a population include: 1) the sample is representative of the population, meaning that it accurately reflects the characteristics of the population as a whole; 2) the sample is randomly selected, ensuring that every member of the population has an equal chance of being included in the sample; and 3) the sample size is large enough to provide accurate and reliable results.
Why does a statistical sample have to be large?
The larger the sample of data collected leads to a more accurate conclusion.
Can Any large random sample from a group of people will be representative of the entire group?
Any large random sample from a group of people will be representative of the entire group.TrueFalse
How does a large sample size help to ensure that experimental results are reliable?
It made his actual results approach the results predicted by probability
In statistics which is better large sample size or small sample size?
Generally, the larger the sample the more reliable the results. Example: If you flipped a coin twice and got heads both times you could say the coined is biased towards heads. However, if you repeat the experiment 100 times your results will be a lot more reliable.
What kind of experiment produces the most reliable results?
A well-designed experiment with a large sample size and controlled variables typically produces the most reliable results. Additionally, experiments that are repeated multiple times to account for variability and ensure consistency tend to yield reliable outcomes.
Mendel used more than 28000 pea plants in his experiment. How does this large sample size make his results more reliable?
it made his actual results approach the results predicted by probability
Is it better to survey as many people as possible.explain?
It is not always better to survey as many people as possible. The sample size needs to be representative of the population being studied to draw accurate conclusions. Too large a sample can be costly and time-consuming, while too small a sample may not provide reliable results. It is important to strike a balance between sample size and representativeness for meaningful survey results.
Why was it important for mendel study such a large sample of pea plants?
(Apex Learning) A higher sample size gives more accurate results.
Why do you use a large sample size when conducting an experiment?
Better the results
Why was it important for mendel to study such a large sample of pea plant?
(Apex Learning) A higher sample size gives more accurate results.
A sample of a population should be large enough to?
span the full spectrum of a population's genetic variation.-apexI got you guysssss.feel free to hmu on snap king.youssof ( need knew friends ;--;)
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.
How does sample size affect validity of results in a research?
A large sample reduces the variability of the estimate. The extent to which variability is reduced depends on the quality of the sample, what variable is being estimated and the underlying distribution for that variable.
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
