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nikdorinn [45]
3 years ago
10

If Event A and Event B are independent, what is the outcome if Event A occurs with a probability of 0.18 and Event B occurs with

a probability of 0.44?
Mathematics
1 answer:
Oksana_A [137]3 years ago
5 0

Answer:

0.0792

Step-by-step explanation:

Independent events are events in which the outcome of one does not affect the outcome of the other. That means what happens in one event has no effect on what happens in another event.

Mathematically, P(A and B) = P(A) * P(B)

The outcome of this is thus multiplying the probability of A by the probability of B

P(A and B) = 0.18 * 0.44= 0.0792

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55510

Step-by-step explanation:

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3 years ago
Danny earned $20,000 last year This year he earned $12,000. What is the percentage difference?
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5 0
2 years ago
Suppose that 30% of all houses need a paint job. Also, 15% of all houses need both a paint job and a new roof. Further, 7% of al
ivann1987 [24]

Answer:

0.0105

Step-by-step explanation:

given that 30% of all houses need a paint job. Also, 15% of all houses need both a paint job and a new roof. Further, 7% of all houses that need a new roof also need new windows.

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If there are total 100 houses, 1.05 houses require a new window

So probability that a randomly selectede house needs a new window

= 0.0105

8 0
3 years ago
The Lee family pays an instructor $50 for Joylins 40-minute drum lesson
Lesechka [4]

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Step-by-step explanation:

4 0
3 years ago
PLS help I will give brainliest to the one who will answer me first.<br><br> pic is not blurry
kiruha [24]

Answer:

mean for a = 60/10 = 6

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mean for b = 80/10 = 8

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Step-by-step explanation:

Mean absolute deviation (MAD) of a data set is the average distance between each data value and the mean. Take each number in the data set, subtract the mean, and take the absolute value. Then take the sum of the absolute values. Now compute the mean absolute deviation by dividing the sum above by the total number of values in the data set. The mean absolute deviation, MAD, is 2.

\frac {1}{n} \sum \limits_{i=1}^n |x_i-m(X)|

m(X) = average value of the data set

n = number of data values

x_i = data values in the set

mean = average.

5 0
2 years ago
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