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Irina-Kira [14]
4 years ago
7

What is the base of the exponential function f(x)=0.5x−2 ?

Mathematics
1 answer:
Scilla [17]4 years ago
5 0

Answer:

0.5

Step-by-step explanation:

The base of the exponential function is the number which the exponent is touching. If it is exponential then the exponent must be x. This means 0.5 is the base.

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Equation Given: <img src="https://tex.z-dn.net/?f=h%28t%29%3D-4.9t%5E%7B2%7D%2B358" id="TexFormula1" title="h(t)=-4.9t^{2}+358"
Vilka [71]

Answer:

At 3.44 seconds, the penny is at a height of 300 meters above the ground.

Step-by-step explanation:

Basically, we have to solve an equation here:

-4.9t^{2} + 358 = 300

Hence,

-4.9t^{2} = 300 - 358

t^{2} = \frac{-58}{-4.9}

t = 3.44

Hence, at 3.44 seconds, the penny is at a height of 300 meters above the ground.

Hope this helped!

4 0
3 years ago
Bob buys 100 candy bars at the store bob eats 47 of the candy bars <br> what does bob have left now
Romashka-Z-Leto [24]

Answer:

Bob now has 53 candy bars.

Step-by-step explanation:

: )

7 0
4 years ago
Read 2 more answers
For the function f(x)=x^2-5x+6, where is the y-intercept?
Jlenok [28]
I believe the answer is 6
5 0
3 years ago
Find the ratio of 700m to 2 km​
Anika [276]

Answer:

7 : 20

Step-by-step explanation:

2km = 2000m

Then the ratio of 700m to 2 km​ is :

700 / 2000

Then the ratio in simplest form is :

7 / 20

7 0
2 years ago
Read 2 more answers
A drug company conducts trials of a new vaccine for a rare but usually fatal disease. The company creates a
GalinKa [24]

Answer:

What can be said about the model are;

1) The company predicts 4 failures before success

2) Each trial is independent

3) The probability is the same for each trial

4) Success is defined as preventing the disease

Step-by-step explanation:

The probability of success for the vaccine, p = 0.2

Therefore, the probability that the vaccine is effective and prevents the disease = 0.2

A geometric distribution probability of success is given by the following formula;

P(X = x) = p × q⁽ˣ⁻¹⁾

The expected value, E(Y) = 1/p

The number of failures before success, E(Y) = (1 - p)/p = (1 - 0.2)/0.2 = 4

Where;

q = The probability of a trial failing = 1 - p = 1 - 0.2 = 0.8

q = 1 - p

∴ The e

The geometric model criteria are;

a) Each trial can only have one of two outcomes success or failure

b) The probability of success for each trial is fixed

c) The geometric distribution is concerned with finding how many trials are required to get one success

d) The trials are independent

Therefore, we have;

The number of failures the company predicts before a success = 4 failures

2) The trials are independent

3) Each trial has an equal probability

4) Success is defined by the effectiveness of the vaccine in the prevention of the disease

4 0
3 years ago
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