00:01
Hello students in this question we are asked to answer true or false.
00:05
So the first one is false.
00:09
The false negative results are more likely to occur with a test whose specificity is lower not higher.
00:15
Therefore the test with a specificity of 40 percent is more likely to produce false negatives compared to test with specificity of 60 percent.
00:27
Then sixth one is also false.
00:32
False negatives results occur when a test fails to detect a disease that is actually present.
00:41
Lowering the sensitivity of the test which is the ability of the test to correctly identify those with the disease will only increase the number of false negative result.
00:54
Seventh one is also false.
00:59
A negative test does not guarantee that an individual is disease free.
01:03
There is always a chance of false negative results and the accuracy of the test can also be affected by various factors such as timing of the test the quality of sample and the performance of the test itself.
01:19
Eighth one is again false.
01:24
An increase in sensitivity does not always result in an increase in specificity.
01:29
In some cases improving sensitivity may come at the cost of lowering specificity and vice versa.
01:36
The two measures are often trade -offs and the optimal balance depends on the specific context and purpose of the test.
01:46
Ninth one is true.
01:52
Here the decision regarding the cutoff values which determines the threshold for defining a positive and negative result involves balancing the trade -offs between sensitivity and specificity.
02:03
The choice of cutoff value should consider the potential consequence of false positives and false negatives in the given population and setting.
02:15
Now tenth one.
02:16
Tenth one is also false...