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lozanna [386]
3 years ago
10

Please help,it is urgent!)

Physics
2 answers:
Romashka [77]3 years ago
5 0

Answer:

answer is 18.58 because

sertanlavr [38]3 years ago
3 0

Answer:

My answer is d.25.1 because

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Which of the following statements is NOT true?
Nataly [62]
I think it’s D but i’m not too sure
4 0
3 years ago
1. On one of the shelves in your physics lab is displayed an antique telescope. A sign underneath the instrument says that the t
Ira Lisetskai [31]

Answer:

a)  f_{e} = 3,375 cm , b)  f₀ = 77.625 cm

Explanation:

The magnification of a telescope is, to see at the far point of vision (infinity image)

        m = - f₀ /  f_{e}

The length of the tube is

        L = f₀ + f_{e}

a) The focal length of the eyepiece

       L = - m  f_{e} +  f_{e}

       L = f_{e} (1-m)

        f_{e} = L / (1-m)

Let's calculate

        f_{e} = 81.0 / (1 - (-23.0)

        f_{e} = 3,375 cm

b) the focal length of the target

       f₀ = -m  f_{e}

       f₀ = 23 (3.68)

       f₀ = 77.625 cm

8 0
3 years ago
Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges d
Temka [501]

Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges directly from observed acoustic data: True.

<h3>What is machine learning?</h3>

Machine learning (ML) is also known as artificial intelligence (AI) and it can be defined as a subfield in computer science which typically focuses on the use of computer algorithms, data-driven techniques (methods) and technologies to develop a smart computer-controlled robot that has the ability to automatically perform and manage tasks that are exclusively meant for humans or solved by using human intelligence.

In Machine learning (ML), data-driven techniques (methods) are used to learn source ranges directly from observed acoustic data in a bid to proffer solutions to source localization in ocean acoustics.

In conclusion, a normalized sample covariance matrix (SCM) is constructed and used as the input, especially after pre-processing the pressure that's received by a vertical linear array in Machine learning (ML).

Read more on machine learning here: brainly.com/question/25523571

#SPJ1

6 0
2 years ago
Kawas 200 osebanywhes he remembered he had to return some books they​
tia_tia [17]
I think you need to add more.. but I may know where you are leading

Was he 200 m away and made the trip in 200 seconds?

If yes...
2 m/s was his speed and 0 velocity
6 0
3 years ago
Please I need help........
LenKa [72]

Answer:

7.46 J/kg/K

Explanation:

The heat absorbed or lost is:

q = mCΔT

where m is the mass, C is the heat capacity, and ΔT is the change in temperature.

Given q = 15.0 J, m = 0.201 kg, and ΔT = 10.0 °C:

15.0 J = (0.201 kg) C (10.0 °C)

C = 7.46 J/kg/°C

Which is the same as 7.46 J/kg/K.

7 0
3 years ago
Read 2 more answers
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