The relative frequency is an estimate of the probability of an event.
nothing
The difference between "at least" and "at most" is not restricted to probability. The difference is simply one between the precise meaning of the phrases in every day English language.
Consider a perfectly 'fair' die. The probability of throwing a two with it is 1 out of six. In fact, if you were to throw this die 1200 times you would expect the die to come up two very nearly 200 times. No matter what the actual frequency, n, might be though you would say that the relative frequency was n/1200. We would rarely speak of subjective frequency. Rather we would speak of subjective probability. Suppose you are a meteorologist attempting to convey your 'degree of belief' about whether a six-centimetre snowfall will occur this evening. There is no question that this afternoon's conditions will occur 1200 times again (at least not in your own lifetime) so that you can use a frequency approach. But you can use you own experience and knowledge of weather patterns to offer some indication of your degree of belief. You do this by saying something like, "I predict that there is a 60% probability that there will be a snowfall this evening in our region this evening." I've seen statisticians become very angry with each other over these alternative definitions of probability.
None. The full name is the Probability Distribution Function (pdf).
The relative frequency is an estimate of the probability of an event.
5746
Relative frequency approximation is conducting experiments and counting the number of times the event occurs divided by the total number of events. The classical approach is determine the number of ways the event can occur divided by the total number of events.
Frequancy Tables only use whole numbers while relative frequency tables use exact percentages or decimals.
Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.
Classical approach has possible outcomes which are known with certainity ie sampling distribution is known. Relative approach is an approach in which probability values are based on historical interest.
absolute frequency is a term decribing the total number of trials you did. a relative frequency is the number of measurements in an interval of a frequency distribution. or the ratio of the number of times an event occurs in a series of trials of a chance experiment to the number of trials of the experiment performed. so the difference is one is the total trials, and the other...well it depends on which definition you picked...
Both divide the data into discrete groups or intervals. The frequency histogram gives the number of times the data occur in the particular group or interval, while the relative frequency histogram gives the fraction of times the data occur in the particular group or interval.
What is the difference between dependant and independent events in terms of probability
probability is a guess and actuality is what will happen
nothing
absolute frequency is a term decribing the total number of trials you did. a relative frequency is the number of measurements in an interval of a frequency distribution. or the ratio of the number of times an event occurs in a series of trials of a chance experiment to the number of trials of the experiment performed. so the difference is one is the total trials, and the other...well it depends on which definition you picked...