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3 years ago

Can you help me please?

Mathematics

1 answer:

Kamila [148]3 years ago

7 0

Answer: The set of all possible input values

Step-by-step explanation:

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Evaluate log (0.3).<br> Round your answer to the nearest thousandth.

djverab [1.8K]

Answer:

-0.523

Step-by-step explanation:

log(a/b)=loga-logb

log (0.3) can be written as log (3/10).

=log(3/10)

=log3-log10

=0.477-1 (log3=0.477 and log10=1)

= -0.523

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3 years ago

Distributive property for 65 × 7

Mkey [24]

65 ×7=455 is your answer

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3 years ago

Read 2 more answers

What is the exponent on 10 when you write 41,200 in scientific notation?

swat32

Answer:

412^10

Step-by-step explanation:

^^^^^^^^^^^^^^^^^

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3 years ago

Jason jumped off a cliff into the ocean in Acapulco while vacationing with some friends. His

navik [9.2K]

Graph the parabola using the direction, vertex, focus, and axis of symmetry.

Vertex: (1/2,484)

Focus: (1/2, 30975/64)

Axis of Symmetry: x=1/2

Directrix: y=30977/64

x l y

1/2 l 484

1 I 480

A) How long did it take for Jason to reach his maximum height? -b/2a=-16/-32= 1/2s

B) What was the highest point that Jason reached?

484ft ~h(ois)

C) Jason hit the water after how many seconds?

roots -5&6 so 6s

Oh and by the way there is some seriously cool cliff jumps in Acapulco, I'm dying to go.

3 0

3 years ago

Suppose that the number of drivers who travel between a particular origin and destination during a designated time period has a

Bumek [7]

Answer:

0.381 is the probability that the number of drivers will be at most 18.

Step-by-step explanation:

We are given the following information in the question:

The number of drivers who travel between a particular origin and destination during a designated time period has a Poisson distribution with parameter μ = 20.

The Poisson distribution is the discrete probability distribution of the number of events occurring in a given time period, given the average number of times the event occurs over that time period.
The variance of Poisson distribution is equal to the mean of Poisson distribution.

a) P(number of drivers will be at most 18)

Formula:

$P(X =k) = \displaystyle\frac{\mu^k e^{-\mu}}{k!}\\\\ \mu \text{ is the mean of the distribution}$

$P( x \leq 18) =P(x=0) + P(x =1) + P(x = 2) + ... + P(x = 18)\\\\= \displaystyle\frac{20^0 e^{-20}}{0!} + \displaystyle\frac{20^1 e^{-20}}{1!} +...+ \displaystyle\frac{20^{18} e^{-20}}{18!}\\\\ = 0.381$

Thus, 0.381 is the probability that the number of drivers will be at most 18.

3 0

4 years ago