Answer: A
Explanation: Case study Bayes theorem. Case histories indicate that various diseases produce similar systems. Assume that a particular set of symptoms, which will be denoted as event M, occurs only when any of three diseases, A, B or C, occurs (For simplicity, we will assume that diseases A, B and C are mutually exclusive). Studies show these probabilities of acquiring the three diseases: P (A) = 0.02 P (B) = 0.03 P (C) = 0.4 The probabilities of developing M symptoms, given a specific disease, are: P (M | A) = 0.80 P (M | B) = 0.97 P (M | C) = 0.60 Assuming that a sick person has symptoms M. What is the probability that the person has disease A?
Answer:
390.242 MPa
Explanation:
Attached is the full solution.
The load is 17156 N.
<u>Explanation:</u>
First compute the flexural strength from:
σ = FL / π
= 3000
(40
10^-3) / π (5
10^-3)^3
σ = 305
10^6 N / m^2.
We can now determine the load using:
F = 2σd^3 / 3L
= 2(305
10^6) (15
10^-3)^3 / 3(40
10^-3)
F = 17156 N.
Answer:
It looks like... A machine that reads electric pulse and surge... Not sure though.
Explanation:
Answer:FALSE
Explanation: A negative pressure respirator is a respiratory system which is known to have a low air pressure inside the mask when compared to the air pressure on the outside during Inhalation.
Most of the personal protective equipment (PPE) which are in use in various industries are examples of Negative pressure respirator device,any leak or damage done to the device will allow the inflows of harmful and toxic Air into the person's respiratory system. AIR SUPPLY SYSTEMS ARE KNOWN TO SUPPLY FRESH UNCONTAMINATED AIR THROUGH AIR STORED INSIDE COMPRESSED CYLINDERS OR OTHER SOURCES AVAILABLE.