Answer:
x ≤ -3
Step-by-step explanation:
For solid lines you would do ≤ or ≥, then for shading on the right side you would need < or ≤
Hey there!
Let's say that Julia has 50 CDs. We would plug this into c in the expression we've been given to find the number of CDs that Ahmed has.
c = 50
1/2c + 5
1/2(50) + 5
25 + 5
30
So, if Julia has 50 CDs, Ahmed has 30. We used the expression to figure that out and, therefore, that's why it was created.
Your answer will be the number of CDs that Ahmed has.
Hope this helped you out! :-)
<span>1,23 i think it may be this
</span>
103 adults and 183 children's attended
<em><u>Solution:</u></em>
Let "a" be the number of adults attended
Let "c" be the number of children attended
Cost of 1 adult ticket = $ 12
Cost of 1 children ticket = $ 4
At the movies, we had 286 people buy tickets
Therefore,
number of adults attended + number of children attended = 286
a + c = 286 ---- eqn 1
The total sold was $1968
Therefore,
number of adults attended x Cost of 1 adult ticket + number of children attended x Cost of 1 children ticket = 1968
12a + 4c = 1968 ------- eqn 2
<em><u>Let us solve eqn 1 and eqn 2</u></em>
From eqn 1,
a = 286 - c -- eqn 3
<em><u>Substitute eqn 3 in eqn 2</u></em>
12(286 - c) + 4c = 1968
3432 -12c + 4c = 1968
-8c = 1968 - 3432
-8c = -1464
8c = 1464
<h3>c = 183</h3>
<em><u>Substitute c = 183 in eqn 3</u></em>
a = 286 - 183
<h3>a = 103</h3>
Thus 103 adults and 183 children's attended
Answer:
Step-by-step explanation:
a)
p(d) - probability of a rivet being defective
p(r) - probability of seam needing to be reworked
The probability of the seem needing to be reworked is equal to the probability that ANY of 24 rivets is defective
Thus the probability that none of the 25 rivets is defective is 1-p(r)
p(r) = 16%, thus 1-p(r) = 84%
1-p(r) = (1-p(d))^24
0.84 = (1-p(d))^24
0.84^(1/24) = 1-p(d)
==> 1-p(d) = 0.9927615998
==> p(d) = 1-0.9927
==> p(d) = 0.0073
b) given p(r) = 8%, thus 1-p(r) = 92%
1-p(r) = (1-p(d))^24
0.92 = (1-p(d))^24
0.92^(1/24) = 1-p(d)
==> 1-p(d) = 0.99653179446
==> p(d) = 1-0.9965
==> p(d) = 0.0035
