It seems like you've begun to group and factored out the GCF.
Because the inner binomials (the ones in parentheses) are the same, the next step is to rewrite the equation like so:
(25-x^2)(y+1)
From here, we can further factor (25-x^2) since they are both perfect squares.
(5+x)(5-x)(y+1)
No further terms can be factored so that is the final answer. Hope this helps!
Answer:
Number of student tickets were sold = 409
Step-by-step explanation:
Total number of tickets sold = 771
I.e Students ticket (S) + Non students ticket(N S) = 771
Total amount to be paid for tickets = $ 3037
Amount paid by students per tickets = $3
Amount paid by non-students per tickets = $5
So, according to question
S + NS = 771
3 S + 5 NS = 3037
Solve both equations
5 S + 5 NS = 771 × 5
3 S + 5 NS = 3037
so ,
(5 S + 5 NS) - (3 S + 5 NS ) = 3855 - 3037
Or, 2 S = 818
I.e S =
= 409
Hence, The number of student tickets were sold = 409 Answer
Answer:
F(x) = -3(x + 2)² - 2
Step-by-step explanation:
In the picture attached, the graph is shown.
F(x) has the form a(x - h)² + k, where (h, k) is the vertex of the parabola. We can see in the graph that the vertex is located at (-2, -2), then F(x) = a(x + 2)² - 2. If a > 0 the parabola opens upward, if a < 0 the parabola opens downward. We can see in the graph that the parabola opens downward, then the correct answer is F(x) = -3(x + 2)² - 2
There aren't any "following" equations, but I can give you one nonetheless.
y = 91 + 5x
This is because 91 is the minimum and y-intercept, x is each individual box, and the 5 is $5 per box.
Hope this helps!
Given that t<span>he
desired percentage of sio2 in a certain type of aluminous cement is
5.5. to test whether the true average percentage is 5.5 for a particular
production facility, 16 independently obtained samples are analyzed.
suppose that the percentage of sio2 in a sample is normally distributed
with σ = 0.32 and that

.
</span>
<span>To investigate whether this indicate conclusively that the true average
percentage differs from 5.5.
Part A:
From the question, it is claimed that </span><span>t<span>he
desired average percentage of sio2 in a certain type of aluminous cement is
5.5</span></span> and we want to test whether the information from the random sample <span>indicate conclusively that the true average
percentage differs from 5.5.
Therefore, the null hypothesis and the alternative hypothesis is given by:

Part B:
The test statistics is given by:

Part C:
The p-value is given by

Part D:
Because the p-value is less than the significant level α, we reject the null hypothesis and conclude that "</span><span>There is sufficient evidence
to conclude that the true average percentage differs from the
desired percentage."
Part E:
</span>If the true average percentage is μ = 5.6 and a level α = 0.01 test based on n =
16 is used, what is the probability of detecting this departure
from H0? (Round your answer to four decimal
places.)
The probability of detecting the departure
from

is given by


Part F:
What value of n is required to satisfy
α = 0.01 and β(5.6) = 0.01? (Round your answer up
to the next whole number.)
The value of n is required to satisfy
α = 0.01 and β(5.6) = 0.01 is given by