Answer:
0.75
Step-by-step explanation:
<em>if you add 0.25 and 0.5 you get 0.75</em>
<em> 0.25</em>
+0.50
______
0.75
0.600 is ur answer Hopes this helps u.
Answer:
- probability of a false positive test result = 0.010
- The non-drug user will suffer from the result since it is positive
Step-by-step explanation:
The probability that the test result is a false positive
total number of cases studied (n) = 38 + 12 + 19 + 29 = 98
number of false positive cases ( x ) = 1
probability of false positive result = x / n = 1/98 = 0.010
The non-drug user will suffer from the result since it is positive
Answer:

Therefore the probability that a randomly selected student has time for mile run is less than 6 minute is 0.0618
Step-by-step explanation:
Normal with mean 6.88 minutes and
a standard deviation of 0.57 minutes.
Choose a student at random from this group and call his time for the mile Y. Find P(Y<6)


y ≈ normal (μ, σ)
The z score is the value decreased by the mean divided by the standard deviation

Therefore the probability that a randomly selected student has time for mile run is less than 6 minute is 0.0618
Answer:8.1000=8000
9.100=900
8000>900
8.1000>9.100
Step-by-step explanation: