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How are experimental probability and theorectical probability alike?
Both are measures of the likelihood of events.
How are experimental probability and theoretical probability alike?
They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.
Can a joint probability have a value greater than 1?
A joint probability can have a value greater than one. It can only have a value larger than 1 over a region that measures less than 1.
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.
Is 1.001 a probability?
No 1.001 is not a probability. Probability can not be >1
What do experimental probability and theoretical probability have in common?
They are both measures of probability.
What does probability?
Probability measures the likelihood of an event occurring.
What does it mean to find the probability of an event?
Read the introduction to probability and probability measures at StatLect.com
How are experimental probability and theorectical probability alike?
Both are measures of the likelihood of events.
How are experimental probability and theoretical probability alike?
They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.They are both measures of how likely it is that a particular event will occur.
How are the experimental and theoretical probabilities the same?
They are both measures of the probability of an event occurring.
What are the similarities of theoretical and empirical probability?
They are both measures of the likelihood of events whose outcome is not normally known.
How are experimental probability and theoretical proability alike?
Both are measures of the likelihood of events whose outcome is uncertain.
Can a joint probability have a value greater than 1?
A joint probability can have a value greater than one. It can only have a value larger than 1 over a region that measures less than 1.
Similarities between the variance and mean?
Beyond the fact that they are both measures derived from probability density functions, I cannot think of any similarity.
What is the difference between sensitivity and specificity?
Sensitivity measures how well a test identifies disease-positive (D+). Specificity measures the probability that a positive test result (T+) correlates to a real D+ person. These measures tend to be inverse of each other-- that is, the more sensitive a test, the less specific it is likely to be, and vice versa.
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.
