Determine the most precise name for the quadrilateral,
1 answer:
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Answer:
The attendance was 198 children, 90 students and 99 adults.
Step-by-step explanation:
We define:
c: children attendance
s: students attendance
a: adult attendance
The equation that describes the total ticket sales is:
We also know that the children attendance doubles the adult attendance:
The third equation is the seating capacity, which we assume is full:
We start by replacing variables in two of the equations:
Then, we solve the remaining equation for a:
Then, we solve for the other two equations:
The attendance was 198 children, 90 students and 99 adults.
Answer:
(a) P (p' > 0.25) = 0.
(b) P (0.15 < p' < 0.20) = 0.7784.
(c) P (133 < X < 171) = 0.2205
Step-by-step explanation:
Let <em>p</em> = proportion of business trip that were for internal company visit.
It is provided that 19% responded that it was for an internal company visit, i.e.
<em>p</em> = 0.19.
A sample of <em>n</em> = 950 business travelers are randomly selected.
According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:
Thus, the distribution of is N (<em>μ</em> = 0.19, <em>σ </em>= 0.013).
(a)
Compute the probability that more than 25% of the business travelers say that the reason for their most recent business trip was an internal company visit as follows:
P (p' > 0.25) = P (Z > 4.62) = 0
*Use a <em>z</em>-table for the probability.
Thus, the probability that more than 25% of the business travelers say that the reason for their most recent business trip was an internal company visit is 0.
(b)
Compute the probability that between 15% and 20% of the business travelers say that the reason for their most recent business trip was an internal company visit as follows:
P (0.15 < p' < 0.20) = P (-3.08 < Z < 0.77)
= P (Z < 0.77) - P (Z < -3.08)
= 0.7794 - 0.0010
= 0.7784
*Use a <em>z</em>-table for the probability.
Thus, the probability that between 15% and 20% of the business travelers say that the reason for their most recent business trip was an internal company visit is 0.7784.
(c)
Compute the proportion of <em>X</em> = 133 and <em>X</em> = 171 as follows:
p' = 133/950 = 0.14
p' = 171/950 = 0.18
Compute the value of P (0.14 < p' < 0.20) as follows:
P (0.14 < p' < 0.18) = P (-3.85< Z < -0.77)
= P (Z < -0.77) - P (Z < -3.85)
= 0.2206- 0.0001
= 0.2205
*Use a <em>z</em>-table for the probability.
Thus, the probability that between 133 and 171 of the business travelers say that the reason for their most recent business trip was an internal company visit is 0.2205.
Answer:
(1)
Step-by-step explanation:
We will try:
(1) y = x => 2 = 2 (seems legit)
(2) y = 4x => 2 = 32 (nope)
(3) y = x - 6 => 2 = 2 (yes but actually no because it is proportional relationship)
(4) y = x - 2 => 2 = 2 (like the above)