Answer:When we toss a ball into the air, its height increases and thus, its potential energy increases as well.
Explanation:Because when a ball is tossed up, its potential energy increases, reaches a maximum height and then starts decreasing as the ball falls back to the ground.
Potential energy is the energy possessed by a body by virtue of its position or configuration . And energy is the capacity of doing work since power is work divided by time therefore change in potential energy divided by time is equal to the power of the object.
Answer:
given,
mass of copper = 100 g
latent heat of liquid (He) = 2700 J/l
a) change in energy
Q = m Cp (T₂ - T₁)
Q = 0.1 × 376.812 × (300 - 4)
Q = 11153.63 J
He required
Q = m L
11153.63 = m × 2700
m = 4.13 kg
b) Q = m Cp (T₂ - T₁)
Q = 0.1 × 376.812 × (78 - 4)
Q = 2788.41 J
He required
Q = m L
2788.41 = m × 2700
m = 1.033 kg
c) Q = m Cp (T₂ - T₁)
Q = 0.1 × 376.812 × (20 - 4)
Q = 602.90 J
He required
Q = m L
602.9 = m × 2700
m =0.23 kg
Answer:
F= 4788 N
Explanation:
Because the car moves with uniformly accelerated movement we apply the following formula:
vf²=v₀²+2*a*d Formula (1)
Where:
d:displacement in meters (m)
v₀: initial speed in m/s
vf: final speed in m/s
a: acceleration in m/s²
Data
d=36.9 m
v₀=14.0 m/s m/s
vf= 0
Calculating of the acceleration of the car
We replace dta in the formula (1)
vf²=v₀²+2*a*d
(0)²=(14)²+2*a*(36.9)
-(14)²= (73.8) *a
a= - (196) / (73.8)
a= - 2.66 m/s²
Newton's second law of the car in direction horizontal (x):
∑Fx = m*ax Formula (2)
∑F : algebraic sum of the forces in direction x-axis (N)
m : mass (kg)
a : acceleration (m/s²)
Data
m=1800 Fkg
a= - 2.66 m/s²
Magnitude of the horizontal net force (F) that is required to bring the car to a halt in a distance of 36.9 m :
We replace data in the formula (2)
-F= (1800 kg) * ( -2.66 m/s²
)
F= 4788 N
The average value for t- statistics is 0 if null hypothesis is true.
What is a t – statistics and null hypothesis ?
- The t-statistic, which is used in statistics, measures how far a parameter's estimated value deviates from its hypothesized value relative to its standard error.
- Through the Student's t-test, it is utilized in hypothesis testing. In a t-test, the t-statistic is used to decide whether to accept or reject the null hypothesis.
- It is quite comparable to the z-score, but when the data is small or the standard deviation is unknown, the t-statistic is employed instead.
- The default assumption, or null hypothesis, is that the quantity being measured is zero (null). The quantity to be assessed is often the difference between two circumstances.
- Trying to determine, for instance, whether there is conclusive evidence that an impact has happened or that samples come from several batches
The t-test yields a t-value of 0 if the sample data precisely match the null hypothesis. The value of the t-value rises as the sample data diverge more and more from the null hypothesis.
To learn more about null hypothesis visit here:
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