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Mice21 [21]
2 years ago
8

Write an equation to model growth or decay in the following scenario. A stock is declining at a rate of 25% of its value every 2

weeks. The stock started at $225. Let a represent the number of weeks. Let y represent the value of the stock in dollars.
​
Mathematics
1 answer:
yawa3891 [41]2 years ago
3 0

The exponential function that models this situation is:

y(t) = 225(0.75)^{\frac{t}{2}}

------------------------------------------

A decaying exponential function has the following format:

y(t) = y(0)(1 - r)^t

In which:

  • y(0) is the initial value.
  • r is the decay rate, as a decimal.

In this problem:

  • The stock started at $225, thus y(0) = 225.
  • Declines at a rate of 25% every 2 weeks, thus r = 0.25, t = \frac{t}{2}

The equation is:

y(t) = y(0)(1 - r)^t

y(t) = 225(1 - 0.25)^{\frac{t}{2}}

y(t) = 225(0.75)^{\frac{t}{2}}

A similar problem is given at brainly.com/question/24282972

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IRISSAK [1]

Answer:

<h2>x = - 1.14 or x = 2.64</h2>

Step-by-step explanation:

2x² - 3x - 6 = 0

Using the quadratic formula

x =  \frac{ - b± \sqrt{ {b}^{2}  - 4ac} }{2a}

a = 2 , b = - 3 , c = 6

Substituting the values into the above formula

We have

x =  \frac{ -  - 3± \sqrt{ { - 3}^{2}  - 4(2)( - 6)} }{2(2)}

x =  \frac{3± \sqrt{9 +48 } }{4}

x =  \frac{3± \sqrt{57} }{4}

x =  \frac{3 -  \sqrt{57} }{4}  \:  \:  \:  \: or \:  \:  \:  \:  \: x =  \frac{3 +  \sqrt{57} }{4}

We have the final answer as

<h3>x = - 1.14 or x = 2.64</h3>

Hope this helps you

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3 years ago
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Luba_88 [7]

Answer:

y = 7

Step-by-step explanation:

3 × (3y - 4) = 51 multiply 3 with inside the parenthesis

9y - 12 = 51 add like terms

9y = 51 + 12

9y = 63

y = 7

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ivann1987 [24]

With u = <-7, 6> and v = <-4, 17>, we have

u + 3v = <-7, 6> + 3 <-4, 17> = <-7, 6> + <-12, 51> = <-19, 57>

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u + 3v + w = <1, 0>

Subtract u + 3v from both sides to get

w = <1, 0> - (u + 3v) = <1, 0> - <-19, 57>

w = <20, -57>

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lutik1710 [3]

Explanation:

Marginal distribution: This distribution gives the probability for each possible value of the Random variable ignoring other random variables. Basically, the values of other variables is not considered in the marginal distribution, they can be any value possible. For example, if you have two variables X and Y, the probability of X being equal to a value, lets say, 4, contemplates every possible scenario where X is equal to 4, independently of the value Y has taken. If you want the probability of a dice being a multiple of 3, you are interested that the dice is either 3 or 6, but you dont care if the dice is even or odd.

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The joint distribution calculates the probabilities for two different events (related to two different random variables) occuring simultaneously. If we want to calculate the joint probability of a dice being multiple of 3 and greater than 2 at the same time, our possible cases in this case are 3 and 6 from 6 possible results. We are not discarding 1 or 2 as possible results because we are not assuming, that the dice is greater than 2, that is another condition that we should met in the combination of events.

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