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Q: What is Conclusion for probability?
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What makes an argument inductive?

An argument is considered inductive when the conclusion is based on a series of specific observations or evidence that may support the conclusion but does not guarantee it. Inductive arguments rely on the probability of the conclusion being true rather than its certainty.


What can you do to get the experimental probability to be closer to the theoretical probability?

The experimental probability is figured out when a person goes through the trouble of actually trying it out. Theoretical probability is when a person comes to a conclusion of what is most likely, based off of the experiment results.


What will be the conclusion for project probability?

probablity is anything that occupies space has mass and can be perceived by our senses,by viraf dalal


What makes an argument an argument?

An argument is inductive when it is based on probability, such as statistics. In an inductive argument, if the premises are true, the conclusion is probably true.


What is a measurement of an argument strength where the higher the confidence level the more likely the conclusion is true?

Confidence level is a statistical measure that indicates the likelihood that a conclusion is true. It is expressed as a percentage, where a higher confidence level indicates a greater probability that the conclusion is accurate. A confidence level of 95%, for example, suggests that there is a 95% chance that the conclusion is true.


What is the meaning of the term statistical inference?

Statistical inference is a conclusion about the value of a population parameter based on information from the corresponding sample statistic and the associated probability distribution.


What are the disadvantages of non probability sampling?

It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.


Inductive reasoning creates a conclusion that's likely to be?

Inductive reasoning creates a conclusion that is likely to be true based on the evidence or patterns observed. It involves making generalizations from specific observations to form a broader understanding. However, the conclusion reached through inductive reasoning is not guaranteed to be true, as it is based on probability rather than certainty.


What is a good conclusion on a paper about probability?

Explain what the differences are in the results you have found. Include the quesion you have been trying to find the anwsers too and relate the results. Explain your prediction and state what you have found


How are deductive and inductive reasoning diffrent from another?

Deductive reasoning moves from general principles to specific conclusions, while inductive reasoning moves from specific observations to broader generalizations. Deductive reasoning aims to prove a conclusion with certainty, while inductive reasoning aims to support a conclusion with probability.


What does it mean to find the compliment of the probability of an event?

The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.


What is the probability of rolling a 7 with one roll of standard number cube?

The probability is 0.The probability is 0.The probability is 0.The probability is 0.