X is greater than or equal to 67
1000/15 =66.6 =67
Answer:
6x ² - 10x - 56
Step-by-step explanation:
(3x -7) (2x +8)
To expand this, each term in the first bracket would multiply the other bracket.
3x(2x +8) -7( 2x + 8)
6x ² + 24x - 14x - 56
6x ² + 10x - 56
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Answer:
There is approximately 17% chance of a person not having a disease if he or she has tested positive.
Step-by-step explanation:
Denote the events as follows:
<em>D</em> = a person has contracted the disease.
+ = a person tests positive
- = a person tests negative
The information provided is:

Compute the missing probabilities as follows:

The Bayes' theorem states that the conditional probability of an event, say <em>A</em> provided that another event <em>B</em> has already occurred is:

Compute the probability that a random selected person does not have the infection if he or she has tested positive as follows:


So, there is approximately 17% chance of a person not having a disease if he or she has tested positive.
As the false negative rate of the test is 1%, this probability is not unusual considering the huge number of test done.
Answer:
PQ = 23, QR = 17
Step-by-step explanation: