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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.
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How do you compute the p-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.
What is the value of 4800 if the probability is 20?
The value of 4800 is 4800 and probability has nothing to do with it.
What is the probability of selecting a value at random and discovering that it has a value of 395 pounds?
The probability is 0.
How can you tell if it's an independent variable?
The probability that it attains any particular value is not affected by the values taken by any other variables in the study.
The mode is the largest value in a symmetric distribution?
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.
