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A perfect example of how theories are tested ! Theory predicts the outcome of the experiment, and the purpose of the experiment is to test the theory. If the outcome of the experiment is appreciably different from the one predicted by the theory, (and if the experiment itself was valid), then the prediction is flawed, and the theory must be either tweaked or trashed.
It is the result that you think will happen as the outcome of an experiment. It is the same as the "expected result", which is usually denoted as E(x)=xp(x).
Experiment cannot be predicted in advance is RANDOM EXPERIMENT...... set of all possible outcomes. outcome that can be predicted with certainity. when an experiment performed repeatedly- called trial. Ex. If a coin is tossed,we can't say,whetefr head or tail will appear .so it is a Random Experiment. Sample Space:-- Possible outcomes of a random experiment.. set of all posssible outcomes.. denoted by--- "S". and no. of elements is denoted by n(s). ex. In throwing a dice ,the number that appears at top is any one of 1,2,3,4,5,6 ,So here: S= 1,2,3,4,5,6 n(s) --- 6
It is the result of the experiment. It is the value of the observation.
event
It is what you expect to happen before you actually carry out the experiment, based on the knowledge and theory you already have and know. *called a hypothesis
A perfect example of how theories are tested ! Theory predicts the outcome of the experiment, and the purpose of the experiment is to test the theory. If the outcome of the experiment is appreciably different from the one predicted by the theory, (and if the experiment itself was valid), then the prediction is flawed, and the theory must be either tweaked or trashed.
It is the result that you think will happen as the outcome of an experiment. It is the same as the "expected result", which is usually denoted as E(x)=xp(x).
A hypothesis is an educated guess at what the outcome of the experiment will be. This means that the information must be tested to see if the predicted outcome is true or false, and there must be the possibility that it is can be proven false.
A hypothesis is an educated guess at what the outcome of the experiment will be. This means that the information must be tested to see if the predicted outcome is true or false, and there must be the possibility that it is can be proven false.
Experiment cannot be predicted in advance is RANDOM EXPERIMENT...... set of all possible outcomes. outcome that can be predicted with certainity. when an experiment performed repeatedly- called trial. Ex. If a coin is tossed,we can't say,whetefr head or tail will appear .so it is a Random Experiment. Sample Space:-- Possible outcomes of a random experiment.. set of all posssible outcomes.. denoted by--- "S". and no. of elements is denoted by n(s). ex. In throwing a dice ,the number that appears at top is any one of 1,2,3,4,5,6 ,So here: S= 1,2,3,4,5,6 n(s) --- 6
How to determine the number of outcome in an experiment ?
A scientific theory or hypothesis must be able to make predictions that can be tested. It must be possible to design an experiment so that there is one outcome if the hypothesis is true and a different outcome if it is false. This is what is meant by saying that a hypothesis is testable or falsifiable. If such as experiment is carried out and the outcome is not as predicted then the hypothesis must be rejected and replaced by an alternative hypothesis - or a modified version.
It is the result of the experiment. It is the value of the observation.
The probability distribution of an experiment is a function that maps the probability of each possible outcome of the experiment to that outcome.
The prediction about the outcome of an experiment is a hypothesis. It is basically an educated guess, and you see if your guess comes true or not.
hypothesis :)