Answer:
A: They are independent because P(X). P(Y) = PIX and Y).
Step-by-step explanation:
A) Two events X and Y are said to be independent if the probability of X occurring does not affect the probability of Y occurring or the probability of Y occurring does not affect the probability of X occurring. An example of independent events is the rolling of a die and flipping of a coin because the probability of getting a face in the die does not influence the probability of getting a head or tail in the coin. The probability of both events occurring is given as:
P(X and Y) = P(X).P(Y)
For the experimental probability you must record the data that you collect by flipping your own coin, then you must find the probability of landing on either side. For example, the theoretical probability for the coin toss it will be 50% chance for either side. For the experimental it depends on your own results.
The Mega Clean mixture with 3 1/2 per gallon has more cleaner in it. The first mixture has .75 oz per quart. The second mixture has .875 oz per qt.
Answer- The second mixture.
Answer:
-45/2
Step-by-step explanation:
Step by step in the screenshots!!
Answer:
b) Is associated with motor impairment but does not cause it
Step-by-step explanation:
The study didn't explain the timeline of their findings, so we can conclude this research takes data at one time. Research that doesn't take before and after exposure data cannot be used to derive causation since we can't prove that the condition happens after the exposure. But this study still can predict association by risk ratio or odds ratio depends on the study design.
