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expeople1 [14]
2 years ago
6

Could i have some really really quick help?

Mathematics
2 answers:
nata0808 [166]2 years ago
8 0

Answer:

1125 m

Step-by-step explanation:

Given equation:

h=-5t^2+150t

where:

  • h = height (in metres)
  • t = time (in seconds)

<u>Method 1</u>

Rewrite the equation in vertex form by completing the square:

h=-5t^2+150t

\implies h=-5t^2+150t-1125+1125

\implies h=-5(t^2-30t+225)+1125

\implies h=-5(t-15)^2+1125

The vertex (15, 1125) is the turning point of the parabola (minimum or maximum point).  As the leading coefficient of the given equation is negative, the parabola opens downward, and so vertex is the maximum point.  Therefore, the maximum height is the y-value of the vertex: 1125 metres.

<u>Method 2</u>

Differentiate the function:

\implies \dfrac{dh}{dt}=-10t+150

Set it to zero and solve for t:

\implies -10t+150=0

\implies 10t=150

\implies t=15

Input found value of t into the original function and solve for h:

\implies -5(15)^2+150(15)=1125

Therefore, the maximum height is 1125 metres.

Irina-Kira [14]2 years ago
5 0
  • h=-5t²+150t

Convert to vertex form y=a(x-h)²+k

  • h=-5t²+150t+1125-1125
  • h=-5t²+150t-1125+1125
  • h=-5(t²-30t+225)+1125
  • h=-5(t-15)²+1125

Vertex at (15,1125)

As a is negative parabola is opening downwards hence vertex is maximum

  • Max height=1125m
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Answer:

0.2333 = 23.33% probability this student's score will be at least 2100.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution, and conditional probability.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score 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. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Conditional Probability

We use the conditional probability formula to solve this question. It is

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

SAT scores (out of 2400) are distributed normally with a mean of 1490 and a standard deviation of 295.

This means that \mu = 1490, \sigma = 295

In this question:

Event A: Student was recognized.

Event B: Student scored at least 2100.

Probability of a student being recognized:

Probability of scoring at least 1900, which is 1 subtracted by the pvalue of Z when X = 1900. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{1900 - 1490}{295}

Z = 1.39

Z = 1.39 has a pvalue of 0.9177

1 - 0.9177 = 0.0823

This means that P(A) = 0.0823

Probability of a student being recognized and scoring at least 2100:

Intersection between at least 1900 and at least 2100 is at least 2100, so this is 1 subtracted by the pvalue of Z when X = 2100.

Z = \frac{X - \mu}{\sigma}

Z = \frac{2100 - 1490}{295}

Z = 2.07

Z = 2.07 has a pvalue of 0.9808

This means that P(A \cap B) = 1 - 0.9808 = 0.0192

What is the probability this student's score will be at least 2100?

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.0192}{0.0823} = 0.2333

0.2333 = 23.33% probability this student's score will be at least 2100.

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