Answer:
The required expression is (x+2).
Step-by-step explanation:
The given point is (3,6).
Here,
x-coordinate = 3
y-coordinate = 6
We need to find an algebraic expression to represent the new x-coordinate after a translation of two yards east.
If a point is shift 2 yard east it means the value of x-coordinate increases by 2 units. It means
where, x' is new x-coordinate and x is initial x-coordinate.
Put x=3 in the above equation.
Therefore, the new x-coordinate is 5.
To solve this problem, we need to know the formula of the surface area of a triangular prism. The formula is: A = 2

+ (a+b+c) * h
Now we can substitute values and solve
A = 2(0.5 * 4 * 3) + (3+4+5) * 20
A = 12 + 240
A = 252
That means that the answer to this question is 252 square feet.
Answer:
y = -1/4x + 2
Step-by-step explanation:
rise over run
It would be 90m3 because all the angles are the same
Using the <em>normal probability distribution and the central limit theorem</em>, it is found that the probability is of 0.9974 = 99.74%, which means that the pilot should take action.
<h3>Normal Probability Distribution</h3>
In a normal distribution with mean
and standard deviation
, the z-score of a measure X is given by:

- It measures how many standard deviations the measure is from the mean.
- After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
In this problem, for the population, the mean and the standard deviation are given by, respectively:
.
For a sample of 37 passengers, we have that:

The probability that the aircraft is overloaded is <u>one subtracted by the p-value of Z when X = 167.6</u>, hence:

By the Central Limit Theorem:



has a p-value of 0.0026.
1 - 0.0026 = 0.9974.
There is a 0.9974 = 99.74% probability that the aircraft is overloaded. Since this is a very high probability, the pilot should take action.
To lern more about the <em>normal probability distribution and the central limit theorem</em>, you can check brainly.com/question/24663213