Answer:
0 tests
Yes, this procedure is better on the average than testing everyone, it makes it less cumbersome.
Step-by-step explanation:
Given the information:
Let P be the probability that a randomly selected individual has the disease = 0.1. N individuals are randomly selected, thereafter, blood samples of each person would be tested after combining all specimens. Should in case one person has the disease then it yields a positive result and test should be set for each person.
Let Y be number tests
For n = 3 there are two possibilities. If no one has the disease then the value is 1 otherwise the value is 4, here P = 0.1
Therefore, for Y = 1
P(Y-1) = P(no one has disease)
= 0.9³
= 0.729
If Y = 4
P(Y-4) = 1-P(y = 1)
= 1 - 0.729 = 0.271
The expected number of tests using this formular gives
E(Y) = 1×0.729 + 4×0.271
E(Y) = 0
Answer:
49 degrees
Step-by-step explanation:
m < D = 90 - m < O (right triangle rule)
m < D = 90 - 41
m < D = 49
Answer:
C.
Step-by-step explanation:
Answer:
0.625
Step-by-step explanation:
Experimental probability is (times an event occurred)/(times experiment was tried).
Total times the point up happened is 45
Total tries is 72
45/72=0.625
Step-by-step explanation:
Are the given values in the table enough information to show an exponential function instead of a linear function? If not, explain why not then write the equations for both an exponential and linear function represented by the table.
