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What does a negative percent of the difference mean between experimental and theoretical probabilities of a given event?
Wiki User
∙ 9y ago
First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.
A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.
It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.
Or, of course, it could be a mixture of both.
First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.
A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.
It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.
Or, of course, it could be a mixture of both.
First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.
A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.
It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.
Or, of course, it could be a mixture of both.
First, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.
A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.
It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.
Or, of course, it could be a mixture of both.
Wiki User
∙ 9y ago
Wiki User
∙ 9y agoFirst, it is important to note that it is very unlikely that the experimental and theoretical probabilities will agree exactly. As an extreme example, if you toss a coin an odd number of times, the resulting experimental probability cannot possibly be exactly 1/2. It should be easy to see that this remains true even if the coin is tossed googleplex+1 number of times.
A negative difference could be because the number of trials was too small and, with an increased number of trials, the experimental probability would gradually increase towards the theoretical probability.
It is also possible that the theoretical model is wrong. You may have assumed that the coin that was being tossed was fair when it was not. Or there were some factors that you failed to take full account of in your theoretical model.
Or, of course, it could be a mixture of both.
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What are positive and negative controls in an experiment?
Positive controls : an experimental treatment that will give the desired result Negative controls: An experimental treatment that will NOT give the dersired result.
Can probabilty be negative?
Yes it can. E.g there may be a probability it may rain tomorrow. See, negative. Negative probability is like an opinion of your own except probabilities aren't opinions, anyway you get what I mean.
What are some characteristics of probability?
It is a real number. It cannot be negative. The sum of the probabilities of all possible outcomes of a discrete variable is 1. Similarly, the integral of the probabilities over the whole range of possible outcomes of a continuous variable is 1.
Is the difference of a negative and positive always negative?
no
Under what condition will percentage error be negative?
it will be negative if the accepted value is less than the experimental value **********************2nd Opinion************ Don't you have that turned around?
Can Probabilities take on negative values only when the events are occurring less than 50 percent of the time?
Probabilities can never be negative. A probability distribution is defined as follows:Every event has a probability of occurring between 0 and 1, inclusive.The sum of the probabilities of each event occurring is 1.
Is a theoretical normal distribution ever negative?
Yes.
What are positive and negative controls in an experiment?
Positive controls : an experimental treatment that will give the desired result Negative controls: An experimental treatment that will NOT give the dersired result.
Can a probability be negative?
When dealing with sets that have mutually disjointed (distinct) elements, IE they are under the system defined by Kolmogorov axioms, they cannot be negative. These are the probabilities normally dealt with.However, when you deal with issues in quantum mechanics etc, where each element is not distinct, then negative probabilities arise and are used as an intermediary step.The end result will not contain a negative probability when dealing with such quasiprobability systems.
Can probabilty be negative?
Yes it can. E.g there may be a probability it may rain tomorrow. See, negative. Negative probability is like an opinion of your own except probabilities aren't opinions, anyway you get what I mean.
How do you determine legitimate probability distributions?
Well... the probabilities should add up to exactly 1 and cannot be negative.
What are some characteristics of probability?
It is a real number. It cannot be negative. The sum of the probabilities of all possible outcomes of a discrete variable is 1. Similarly, the integral of the probabilities over the whole range of possible outcomes of a continuous variable is 1.
What is negative slip in a reciprocating pump?
when actual flow(Qact) in pump is greater than theoretical flow (Qth) then negative slip occurs....
What is the percent error formula?
Percent Error is the difference between the true value and the estimate divided by the true value and the result is multiplied by 100 to make it a percentage. The percent error obviously can be positive or negative; however, some prefer taking the absolute value of the difference. The formula is the absolute value of the experimental value (minus) the theoretical value divided by theoretical value times 100. % error = (|Your Result - Accepted Value| / Accepted Value) x 100
Can the experimental probability of an event be a negative number.if not why?
No; because probability can never be less than zero.
Is the difference of a negative and positive always negative?
no
Under what condition will percentage error be negative?
it will be negative if the accepted value is less than the experimental value **********************2nd Opinion************ Don't you have that turned around?
