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How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

How to calculate negative predictive value

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So in this video we also have to calculate the test statistics. Okay, so we divide 2. Um 2 cases. So the first one is for proportion and the other one is for the beat. So for the proportion you would say that no hypothesis that they is that p equal to some value. P. Um The alternative hypothesis, let's say peace, read it and saw the same value.
With a perfect test, one which returns no false negatives, the value of the NPV is 1 (100%), and with a test which returns no true negatives the NPV value is zero. The NPV can also be computed from sensitivity, specificity, and prevalence : The complement of the NPV is the false omission rate (FOR):
So, a sensitivity of 95.80% and a specificity of 74.42%. But if I calculate by hand, I get the following results: True positive: 137 False positive: 6 True negative: 192 ... -calculate the sensitivity and specificity that way. When you run -tabulate- specify the -col- option. For positive and negative predictive values, specify the -row- option.
The predictive value of a test is a measure (%) of the times that the value (positive or negative) is the true value, i.e. the percent of all positive tests that are true positives is the Positive Predictive Value.
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