Answer:
0.0098
Step-by-step explanation:
Given,
- Probability of test is positive if the person has disease, P(T/D)=0.99
Probability of test is negative if the person has disease,
P(T'/D) = 1-0.99 = 0.01
- Probability of test is negative if the person hasn't disease, P(T'/D')= 0.99
Probability of test is positive if the person hasn't disease,
P(T/D') = 1 - 0.99 = 0.01
- Probability of occurrence of disease, P(D) = 0.0001
Probability of not occurrence of disease,
P(D) = 1 - 0.0001 = 0.9999
Probability that test will be positive either disease is present or not,
P(T) = P(T/D).P(D)+P(T/D').P(D')
=0.99 x 0.0001 + 0.01 x 0.9999
= 0.000099 + 0.009999
= 0.010098
So, the probability that the person will have disease if the test is positive,


= 0.0098
So, the required probability will be 0.0098.
Answer:
(4,3)
Step-by-step explanation:
Answer:
The answer is C - Wednesday
Step-by-step explanation:
-4° - 9° = -13°
Hope this helps!
Answer:
Measures of variability would describe how the central tendency is influenced by the data. Since the central tendency is the tendency of data values to cluster around some central value, then measures of variability would show how strong the central tendency is.
Hope this helps!