| Probability Distribution Calculations |
| See Also |
A simple diagram is provided for each calculation type to illustrate what is being calculated. The input value is displayed in blue and the resulting calculated value in red. The curves shown for continuous distributions are the probability density function, and for discrete distributions the bars represent the individual probability values at a given deviate. The actual curve/histogram displayed is indicative only, and may not match the actual shape of the selected distribution.
These calculations can be conducted with more generality with the Calculations menu.
| Continuous | a range of continuous distributions |
| Discrete | a range of discrete distributions can be selected from the drop down list |
The linear correlation coefficient (r) is the distribution of the correlation coefficient of X and Y under the assumption that they are independent and both normally distributed. For N observations, the linear correlation coefficient has N-2 degrees of freedom. Note a partial correlation coefficient can be tested for significance using this distribution, but with degrees of freedom N-2-V, where V is the number of variables held constant.
Further details of other distributions available on this menu are given in the printed and online documentation.
| Cumulative Lower Probability | the cumulative probability below the given deviate. |
| Cumulative Upper Probability | the cumulative probability above the given deviate. |
| Equivalent Deviate | the deviate for which the cumulative probability below it is equal to the given probability. |
| Deviates excluding probability | the pair of deviates for which the probability outside the interval is equal to the given probability. These are placed so that half the excluded probability is above and below the interval. |
| Deviates containing probability | the pair of deviates for which the probability inside the interval is equal to the given probability. These are placed so that half of the complementary probability (1-p) is above and below the interval. |
| Confidence Limits of Sample Mean | This gives the confidence limits for a mean so that on resampling, the true mean would be contained in this interval with a probability alpha. |
| Critical value (one sided) | this gives the deviate for which the standardized deviate would only exceed with the given probability. |
| Critical value (two sided) | this gives the deviates for which the absolute standardized deviate would only exceed with the given probability, or for non-symmetrical distributions, the pair of deviates defining an interval. |
| Probability in Interval | the cumulative probability between the given lower and upper deviates. |
| Probability outside Interval | the cumulative probability outside the given lower and upper deviates. |
| Probability Density | the value of the probability density at a given deviate. This is only defined for continuous distributions. |
| Individual Probability | the individual probability at a particular deviate. This may only be calculated for a discrete distribution. |
When entering deviates, discrete distributions should only use 0,1,2... and some continuous distributions require only positive values.
When this option is active, the size of the input value field is extended to allow for space for typing, but all validation of the input values is suppressed.
| Run | Run the probability calculation. |
| Cancel | Close the menu without further changes. |
| Defaults | Set the menu settings back to the default settings. Clicking the right mouse on this button produces a pop-up menu where you can choose to set the menu using the currently stored defaults or the GenStat default settings. |