Explain why p(a|d) and p(d|a) from the table below are not equal.

Sample Response: The two conditional probabilities are not equal because each has different given events. P(A|D) has event D as its given event, resulting in 2/10 for a probability. P(D|A) has event A as its given event, resulting in 2/8 for a probability.

The Probability that Event A and  Event D occur is equal to the probability Event A occurs times the probability that Event D occurs, given that A has occurred.

We can find the values of and using the above form formula.

;

From the given table, we have the values of P(A), P(D), and .

Since, Probability=

∴, , and

Now, putting these values in above formula we get,

.

As, you can see above that the values of P(A|D) and P(D|A) are not equal.

66.666666667%

step-by-step explanation:

divide 150 by 100

divide 100 by 1.5

there you go!

decreased by 33.333333334%

idk wbu

step-by-step explanation: