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What else can I help you with?
Why is binomial distribution important?
Binomial distribution is the basis for the binomial test of statistical significance. It is frequently used to model the number of successes in a sequence of yes or no experiments.
What is the main difference in qualitative and quantitave observation?
Qualitative observation takes in mainly the qualities deemed most appropriate for analysis. Quantitave observation takes in the quantities which analytical evidence is mainly suggestive. You may ask "Which is the most important?" That is mainly a subjective issue and, as such should be initiated by the mediator rather than that which can be attributed to an othepaecal study. Again, it is important to judge each case on it's own merits but I would suggest that, in terms of jurisprudence, the observational relationship is inverse of the square of the qualitative in reference to the quantitive. Of course you may have heard the phrase "Quality not Quantity" but in the real world this is seldom the case.
Why is the random assignment of individuals to experimental and control groups important for an experiment?
Without random assignment there is a danger of systematic error - or bias - entering into the results. Statistical theory depends on the errors being random and independent error and that is no longer the case without random assignment. In fact, statistical experiments are often "double-blind": even the observer does not know which individual is in which group. This is to prevent unconscious or subconscious messages to affect the outcome (placebo effects).
Why is it important to include a label on the axis that has the scale hen making a double-bar graph?
It is important to include a label on the axis of anygraph.It is important to include a label on the axis of anygraph.It is important to include a label on the axis of anygraph.It is important to include a label on the axis of anygraph.
Why is random sampling so important for research?
sampling is very important for researcher
An important key to good observational records is?
An important key to good observational records is use of language. Other people can only interpret the words of the person who was doing the observing.
Why is it important for experiments to be repeated?
It's important to repeat experiments so then you know that you did the experiment right.
Why do scientist publish the details if important experiments?
Scientists publish the details of important experiments so that people can recreate it and see the results for themselves.
What are important uses for Lawrencium?
Only for experiments
Are observational studys reliable?
Observational studies can provide valuable insights, but they have limitations. They can suggest associations between factors, but cannot prove causation. Factors like confounding variables and biases can impact the reliability of observational studies. It is important to interpret their results cautiously and consider other types of studies for more robust evidence.
Why are ethics important when condsidering experiments?
It is important that people are not harmed for the sake of science.
Why are the experiments dr James did on frogs important to the novel?
what
Why is important for scientist to have tools?
It's important so that they can perform experiments and gather data.
Why are following directions in the lab important?
Following directions in the lab is important to ensure the accuracy and reproducibility of experiments, as well as to maintain a safe working environment. Deviating from instructions can result in incorrect data, wasted resources, and even potential hazards. Adherence to protocols also helps streamline workflows and promote collaboration among researchers.
Why is planning experiments important to study?
Only when experiments are planed, carried out and analyzed can we know if our hypothesis is true and our methods are reliable. Oncethis is achieved, repeating experiments prove validity.
Why are the experiments Dr James Lind did on frogs important to the novel?
what
What is the most important thing when you are a scientist?
To not hurt yourself with experiments.
