Answer:
If the question is then the answer is no real solution. If the question is 2x - 18x + 65 than the answer is -16x+65
A cylindrical container that contains three tennis balls that are 2. 7 inches in diameter is lying on its side and passes throug
1 answer:
The correct option is c, which is A rectangle that is 5.4 in x 16.2 in.
<h3>Rectangle</h3>A rectangle is a quadrilateral with opposite sides parallel and equal to each other. Also, all the angles of the rectangle are equal to 90°.
Given
A cylindrical container that contains three tennis balls that are 2. 7 inches in diameter is lying on its side and passes through an x-ray scanner that scans from the top only.
As given, the cylinder is lying on its side, thus for the x-ray machine, the side will be the top of the cylinder. therefore, the cylinder will look like a rectangle, like the way it is shown below.
The diameter of 3 balls will be the length of the rectangle while the width will be the diameter of 1 ball.
Hence, the correct option is c, which is A rectangle that is 5.4 in x 16.2 in.
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The probability that the aircraft is overloaded is 97.98%, which means the pilot should take the action.
In a Normal distribution with mean ц and standard deviation σ, the z-score of a measure x is given by:
Z = X-ц / σ
· It measures how many standard deviations the measure is from the mean.
· After finding 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 the size n has standard deviation σ
σ = σ /
σ is standard deviation
n is the sample size.
Given that the mean and the standard deviation of the population is 176.1 lb and 35.4 respectively.
⇒ ц = 176.1 and σ = 35.4
For a sample of 43 passengers, we have
n = 43
σ =
σ = 5.398
Z = X-ц / σ
Z =
Z = -2.05 has p- value of 0.9798
The probability that the aircraft is loaded is
1 - p-value of Z
1 - 0.0202 = 0.9798
The probability that the aircraft is overloaded is 97.98%
Know more about Normal probability Distribution: -brainly.com/question/9333901
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