There is no fixed value: it depends on the consequences of making the wrong decision. For example, when the consequences are very serious then a very high probability is required. A popular level is a probability value of 95% but that number has no particular significance.
There is no fixed value: it depends on the consequences of making the wrong decision. For example, when the consequences are very serious then a very high probability is required. A popular level is a probability value of 95% but that number has no particular significance.
There is no fixed value: it depends on the consequences of making the wrong decision. For example, when the consequences are very serious then a very high probability is required. A popular level is a probability value of 95% but that number has no particular significance.
There is no fixed value: it depends on the consequences of making the wrong decision. For example, when the consequences are very serious then a very high probability is required. A popular level is a probability value of 95% but that number has no particular significance.
The first step in calculating a p-value is to make a hypothesis of the statistical model for your study. You then assume that the hypothesis is true and calculate the probability of observing an outcome at least as extreme as the one that you did observe. This probability is the p-value.
The value of 4800 is 4800 and probability has nothing to do with it.
The probability is 0.
The probability that it attains any particular value is not affected by the values taken by any other variables in the study.
Yes- the highest probability value is the mode. Let me clarify this answer: For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.
increase in alpha value
The first step in calculating a p-value is to make a hypothesis of the statistical model for your study. You then assume that the hypothesis is true and calculate the probability of observing an outcome at least as extreme as the one that you did observe. This probability is the p-value.
The value of 4800 is 4800 and probability has nothing to do with it.
The probability is 0.
It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.
Zero is the smallest probability.
The probability that it attains any particular value is not affected by the values taken by any other variables in the study.
The value of scientific study in Antarctica is that it produces useful scientific knowledge. The unfortunate aspect of scientific study in Antarctica is that it is hazardous and has resulted in some deaths of researchers. Antarctica is a harsh environment where mistakes tend to become fatal very rapidly.
Yes- the highest probability value is the mode. Let me clarify this answer: For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
No. The probability that a continuous random variable takes a specific value is always zero.
A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.