Ok
First factor out the first 2 terms as follows:-
y = 1/2(x^2 - 8x) + 21
Now complete the square on x^2 - 8x:-
y = 1/2[ (x - 4)^2 - 16] + 21
y = 1/2(x - 4)^2 - 8 + 21
y = 1/2(x - 4)^2 + 13 Answer
Answer:
The length of the ramp must be at least 14.71 feet
Step-by-step explanation:
Given


<em>See attachment for complete figure</em>
Required
Length of the ramp (z)
To do this, we consider sin of angle A (
).
So, we have:

This gives:

Make z the subject



<em>The length of the ramp must be at least 14.71 feet</em>
Answer:
Option D
Step-by-step explanation:
The most valid conclusion here is that the fact that running on a treadmill allows for a greater physical fitness with the television watching deterring the effect of the exercise. In as much as he only watches TV when running, it is not enough to conclude that TV can cause less physical fitness for Pablo.
Answer:
99.7%
Step-by-step explanation:
Mean number of passengers (μ) = 180 passengers
Standard deviation (σ) = 20 passengers
The number of standard deviation from the mean for the lower and upper bounds of the 120 to 240 passengers intervals are:

Therefore, all of the data is within 3 standard deviations from the mean. According to the empirical rule, 99.7% of the data is within 3 standard deviations from the mean. Therefore, we can assert with a 99.7% probability that there will be between 120 and 240 passengers.
Answer:
The sample statistics follows a standard normal distribution since the sample size are large enough.
Step-by-step explanation:
Given that:
<u>First population:</u>
Sample size
= 49
Population standard deviation
= 3
Sample mean
= 10
<u>Second population:</u>
Sample size
= 64
Population standard deviation
= 4
Sample mean
= 12
The sample statistics follows a standard normal distribution since the sample size are large enough.
The null and alternative hypotheses can be computed as:


Level of significance = 0.01
Using the Z-test statistics;






Z = - 3.037
Z
- 3.04
The P-value = 2P (z < -3.04)
From the z tables
= 2 × (0.00118)
= 0.00236
Thus, since P-value is less than the level of significance, we fail to reject the null hypotheses 