Answer:
0.15
Step-by-step explanation:
<u>Independent Probabilities Formula</u>
P(A | B) = P(A) = P(A ∩ B) ÷ P(B)
P(A | B) = 0.25
P(A) = 0.25
P(B) = 0.6
If P(A) = P(A ∩ B) ÷ P(B)
P(A ∩ B) = P(A) × P(B)
P(A ∩ B) = 0.25 × 0.6
P(A ∩ B) = 0.15
Step-by-step explanation:
Let the number be x.
<u>1</u><u> </u> =8 + x
6
6×<u>1</u>=6×8+6×x
6
1=48+6x
1-48=6x
<u>-</u><u>4</u><u>7</u>=<u>6</u><u>x</u>
6. 6 x = -7 <u>5</u>
6
x is equal to minus seven whole number five divided by six.
Answer:
x2 y1, x4 y2, x6 y3, x8 y4
Step-by-step explanation:
You have to double the x for each y
Answer:
Probability that a randomly selected firm will earn less than 100 million dollars is 0.8413.
Step-by-step explanation:
We are given that the mean income of firms in the industry for a year is 95 million dollars with a standard deviation of 5 million dollars. Also, incomes for the industry are distributed normally.
<em>Let X = incomes for the industry</em>
So, X ~ N(
)
Now, the z score probability distribution is given by;
Z =
~ N(0,1)
where,
= mean income of firms in the industry = 95 million dollars
= standard deviation = 5 million dollars
So, probability that a randomly selected firm will earn less than 100 million dollars is given by = P(X < 100 million dollars)
P(X < 100) = P(
<
) = P(Z < 1) = 0.8413 {using z table]
Therefore, probability that a randomly selected firm will earn less than 100 million dollars is 0.8413.
Answer:
0.50 or 50%
Step-by-step explanation:
40 x 125 = X
1.25 as a decimal or 125%
40 x 1.25 = 0.50
0.50 --->50%
40 x 125% = 50%