The final rotational speed ω_final and the instantaneous power P delivered to the wheel are; ω_f = √((ω_i)² + 2(FL/(kmr²) and P = Frω_i
<h3>What is the Instantaneous Power?</h3>
A) From rotational kinematics, the formula for the final angular velocity is;
ω_f = √((ω_i)² + 2αθ)
where;
α is angular acceleration
θ = L/r. Thus;
ω_f = √((ω_i)² + 2α(L/r))
Now, α = T/I
Where;
I is moment of inertia = k*m*r²
T is t o r q u e = F * r
Thus;
α = (F * r)/(kmr²)
α = F/(kmr)
ω_f = √((ω_i)² + 2(F/(kmr))(L/r))
ω_f = √((ω_i)² + 2(FL/(kmr²)
B) Formula for instantaneous power is;
P = Fv
where at t = 0; v = rω_i
Thus;
P = Frω_i
Read more about Instantaneous Power at; brainly.com/question/14244672
Considering the full question, Munnabhai miss to learn <u>Agile Phases</u>.
Given that Munnabhai could not recollect anything about short iterations in Agile Manifesto, it should be noted that iterations is part of <u>Agile Phases</u>.
<h3>What is Agile Phases?</h3>
Agile Phases is the term that is used to describe the stages or phases in which project is executed.
Agile Phases include the following phases:
- Concept,
- Inception,
- Iteration,
- Release,
- Maintenance,
- Retirement
Hence in this case, it is concluded that the correct answer is <u>Agile Phases.</u>
The full question is:
Munnabhai knows the four values of Agile Manifesto by heart. However, he was confused when a customer spoke with him, highlighting Agile characteristics of short software development cycles or iterations. He could not recollect anything about short iterations in the Agile Manifesto. What did he miss to learn about?
Learn more about <u>Agile Phases</u> here: brainly.com/question/23661838
Answer:
Answer: D
GDP per capita is a measure of a country's economic output that accounts for its number of people.
The unemployment rate is defined as the percentage of unemployed workers in the total labor force.
The infant mortality rate is the number of deaths under one year of age.
Given the above information, a country with a higher GDP would have a more stable economy aiding in growth. A lower unemployment rate would show a surplus of jobs indicating, once again, a steady and growing economy. Lastly, a lower infant mortality rate would show access to advanced medicine and a highly trained medical field. All three of these examples are indicators of a highly developed country.
Explanation:
The standard error of the difference of sample means is 0.444
From the complete question, we have the following parameters
<u>Canadians</u>
- Sample size = 50
- Mean = 4.6
- Standard deviation = 2.9
<u>Americans</u>
- Sample size = 60
- Mean = 5.2
- Standard deviation = 1.3
The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.
This is represented as:
The standard error of the Canadian sample is:
So, we have:
The standard error of the American sample is:
So, we have:
The standard error of the difference of sample means is then calculated as:
This gives
Take square roots
Hence, the standard error of the difference of sample means is 0.444
Read more about standard errors at:
brainly.com/question/6851971
