Answer:
The likelihood of selecting an individual with high blood pressure who is also a runner is 2/3.
Step-by-step explanation:
Based on the data provided:
P( Choosing someone with high blood pressure ) = 0.3
or stated as P(H) = 0.3
P( Choosing a runner ) = 0.4
or stated as P(R) = 0.4
Now, P( Selecting a person with high blood pressure as well as being a runner) = 0.2
⇒ P(H∩ R) = 0.2
Next, we want to calculate the P(the selected individual is a runner, given they have high blood pressure)
which means we need to determine: P(R/H)
Using BAYES THEOREM:


So, the chance of choosing a person with high blood pressure who is a runner stands at 2/3.
Answer:
Using integer tiles, you would either add five sets of negative two tiles or take away two sets of five positive tiles. On the number line, you would jump 5 spaces to the left
Step-by-step explanation:
I hope this is helpful :)
To determine this answer, you need to calculate the percentage change.
This involves dividing the difference in lengths by the original length. We begin with the main bridge.
4700 - 2300 = 2400
2400 divided by 4700 equals approximately 51.1% shorter.
Answer: 0.46
Step-by-step explanation:
B&B Motors' mini trucks yield 0.59; all four companies combined yield 0.39; mini trucks yield 0.13. Hence, 0.59 - 0.13 equals 0.46.