Answer:
Step-by-step explanation:
Answer:
We expand a number to show the value of each digit.
29085:
20,000 + 9,000 + 000 + 80 + 5 = 29085
<em>Hope this helps!!</em>
Answer:
This would be test of independence because it contain only one sample test
Step-by-step explanation:
Test of independence determine two factors are independent or not
For example
if we do a test of independence
null hypothesis : H 0: Being a cell phone user while driving and receiving a speeding violation are independent events. If the null hypothesis were true, we would expect about 28 people to use cell phones while driving and to receive a speeding violation.
Therefore in the given question Each respondent answer that it might be in "Right Direction " or "Wrong Direction".
So it is a independent test.
40/16 or 2.5 meters per second.... Sorry I'm probably way too late
Answer:
Required Probability = 0.605
Step-by-step explanation:
Let Probability of people actually having predisposition, P(PD) = 0.03
Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97
Let PR = event that result are positive
Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99
Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02
So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)
Using Bayes' Theorem to calculate above probability;
P(PD/PR) =
=
=
= 0.605 .