Statistical Experiments for Grade XI from Andhra Pradesh board syllabus:
Statistics (click this for more information on statistics)is the process of analyzing of data. It includes planning, analyzing, designing and at the end recommending the errors. Statistics is process of outcomes (also try descriptive statistics examples). Statistical Experiments have three things common:
• The experiment that is performed can have more than one likely outcome.
• The probable outcomes can be specified in advance as they are the events linked to probability factor.
• As said above, outcomes are the probability factors so each outcome of experiments depends on the chance.
For example- a coin toss; it has all the characteristics that are specified above. In a coin toss, there are more than one possible outcome i.e. (head, tail) and they can be specified in advance. The third point is the probability factor. As outcomes are uncertain, so their possibility is an element of chance.
It can be understood by another example.
Suppose we are rolling a die. Now first it should be confirmed that is it a Statistical Experiment. Yes. It is. As in the above example there is more than one possible outcome i.e. 1, 2, 3, 4, 5, and 6 and each outcome can be specified in advance and the possibility of the outcome is the matter of chance. The sample space of a single dice is 1, 2, 3, 4, 5, and 6. The numbers 1 to 6 are events in the sample space.
Let's have another example of Statistical experiments of more than one variable.
If we are rolling a single die two times then both these events are independent because the roll of a die at a time would not affect another roll of that die. This means that independent events are those events in which the occurrence of one event has no effect on the occurrence of another event.
In upcoming posts we will discuss about Correlation and causation and parallel lines cut by a transversal. Visit our website for information on Standard Deviation Formula
Statistics (click this for more information on statistics)is the process of analyzing of data. It includes planning, analyzing, designing and at the end recommending the errors. Statistics is process of outcomes (also try descriptive statistics examples). Statistical Experiments have three things common:
• The experiment that is performed can have more than one likely outcome.
• The probable outcomes can be specified in advance as they are the events linked to probability factor.
• As said above, outcomes are the probability factors so each outcome of experiments depends on the chance.
For example- a coin toss; it has all the characteristics that are specified above. In a coin toss, there are more than one possible outcome i.e. (head, tail) and they can be specified in advance. The third point is the probability factor. As outcomes are uncertain, so their possibility is an element of chance.
It can be understood by another example.
Suppose we are rolling a die. Now first it should be confirmed that is it a Statistical Experiment. Yes. It is. As in the above example there is more than one possible outcome i.e. 1, 2, 3, 4, 5, and 6 and each outcome can be specified in advance and the possibility of the outcome is the matter of chance. The sample space of a single dice is 1, 2, 3, 4, 5, and 6. The numbers 1 to 6 are events in the sample space.
Let's have another example of Statistical experiments of more than one variable.
If we are rolling a single die two times then both these events are independent because the roll of a die at a time would not affect another roll of that die. This means that independent events are those events in which the occurrence of one event has no effect on the occurrence of another event.
In upcoming posts we will discuss about Correlation and causation and parallel lines cut by a transversal. Visit our website for information on Standard Deviation Formula
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