Input interpretation
![positive predictive value](../image_source/873552fde518d3159591bfb2da94edd5.png)
positive predictive value
Equation
![ppv = tp/(tp + fp) | ppv | positive predictive value tp | true positives fp | false positives](../image_source/e4627bed50b39c5a60ab30a602266844.png)
ppv = tp/(tp + fp) | ppv | positive predictive value tp | true positives fp | false positives
Input values
![true positives | 22 false positives | 2](../image_source/860f6ed574c205603b9fc4cdc0a05930.png)
true positives | 22 false positives | 2
Results
![positive predictive value | 0.9167](../image_source/57a459b2d00b22bdf2e0e5128a26bfd0.png)
positive predictive value | 0.9167
Possible intermediate steps
![Calculate the positive predictive value using the following information: known variables | | tp | true positives | 22 fp | false positives | 2 The relevant equation that relates positive predictive value (ppv), true positives (tp), and false positives (fp) is: ppv = tp/(tp + fp) Substitute known variables into the equation: known variables | | tp | true positives | 22 fp | false positives | 2 | : ppv = 22/(22 + 2) Evaluate 22/(22 + 2): Answer: | | ppv = 0.9167](../image_source/15034330eeb50c76747954eb06f2901d.png)
Calculate the positive predictive value using the following information: known variables | | tp | true positives | 22 fp | false positives | 2 The relevant equation that relates positive predictive value (ppv), true positives (tp), and false positives (fp) is: ppv = tp/(tp + fp) Substitute known variables into the equation: known variables | | tp | true positives | 22 fp | false positives | 2 | : ppv = 22/(22 + 2) Evaluate 22/(22 + 2): Answer: | | ppv = 0.9167