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2 years ago

Please help please please help 16 points

Mathematics

1 answer:

asambeis [7]2 years ago

4 0

Answer:

1.6 = x axis || 2.5 = y axis

Step-by-step explanation:

each line is 0.5

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If you save $700 and earn $3 interest for every $100, how much money will you have in all?

Margaret [11]

Answer:

721

Step-by-step explanation

700 divided by 100 is 7.

So you have 7 hundred and 7 times 3 is 21.

700+21=721

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3 years ago

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Mrs.Henry hires a local moving company to help her move into her new apartment. The price includes a 15% tip. Mrs.Henry's total

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5.) How many, and what type of solutions does 2x^2 + 11x + 15 = 0 have?

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Answer: A i think

Step-by-step explanation:

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3 years ago

Polynomial Functions in context. a. A baseball is struck such that its position on a plane perpendicular to home plate can be de

Brums [2.3K]

The position of the ball when it is at its highest point is 121

<h3>Polynomial function</h3>

Given the polynomial function expressed as y = -1/250(x - 175)^2 + 121,

The velocity of the ball at the maximum point is zero. Hence;

dy/dx = -1/125(x-175)

Equating to zero;

0 = -1/125(x - 175)

x = 175

Substitute into the function to get the maximum height

y = -1/250(175 - 175)^2 + 121,

y = 121

Hence the position of the ball when it is at its highest point is 121

Learn more on polynomial function here: brainly.com/question/2833285

6 0

2 years ago

Military radar and missile detection systems are designed to warn a coutry of an enemy attack. Assume that a particular detectio

Tom [10]

Answer:

0.96 = 96% probability that at least one of them detect an enemy attack.

Step-by-step explanation:

For each radar, there are only two possible outcomes. Either it detects the attack, or it does not. The missiles are operated independently, which means that we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

Assume that a particular detection system has a 0.80 probability of detecting a missile attack.

This means that $p = 0.8$

If two military radars are installed in two different areas and they operate independently, the probability that at least one of them detect an enemy attack is

This is $P(X \geq 1)$ when $n = 2$ . So

$P(X \geq 1) = 1 - P(X = 0)$

In which

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

$P(X = 0) = C_{2,0}.(0.8)^{0}.(0.2)^{2} = 0.04$

$P(X \geq 1) = 1 - P(X = 0) = 1 - 0.04 = 0.96$

0.96 = 96% probability that at least one of them detect an enemy attack.

6 0

3 years ago