11.03.2020

model the statement b is at least √ 11.

. 4

Faq

StudenGPT
Step-by-step answer
P Answered by Studen AI
The given statement is: "b is at least √11".

This statement is already a mathematical inequality. In terms of a mathematical expression, it can be written as:

b ≥ √11

This is a simple inequality stating that the value of b is greater than or equal to √11.

Now, let us follow the instructions:

Double-check the inequality:

Our initial inequality is b ≥ √11. Checking again, we have written it correctly.

Ensure that all terms are correctly addressed:

This inequality doesn't contain fractions, so we do not need to worry about cancelling out terms in fractions.

Pay close attention to signs:

The inequality carries the sign '≥', correctly demonstrating the statement 'is at least'. So we have handled the sign correctly.

Simplify the expression:

The inequality b ≥ √11 is already in its simplest form. No terms can be combined, as there is only a single term on each side.

Accuracy in factoring expressions:

There is no need to factor the expression in this case as it already consists of simplest elements and there are no quadratic terms.

Checked all the steps and nothing is omitted. The solution remains b ≥ √11.

Verify your final answer by working backward:

If we take the final answer and interpret it in words, it would read 'b is at least √11', which is the same as the original statement. So our answer has been verified.
StudenGPT
Step-by-step answer
P Answered by Studen AI
11. The color of light with the most energy in the hydrogen spectrum is violet.

Justification: In Model 2, we can see that violet light has the shortest wavelength, and according to the electromagnetic spectrum, shorter wavelengths correspond to higher energy. Therefore, violet light has the most energy among the colors in the hydrogen spectrum.

b. The color of light with the least energy in the hydrogen spectrum is red.

Justification: Red light has the longest wavelength in the visible spectrum, which corresponds to lower energy. Therefore, red light has the least energy among the colors in the hydrogen spectrum.

12. No, a gas discharge tube filled with boron does not emit the same wavelengths of light as a tube filled with hydrogen.

Justification: In Model 2, we can see that the hydrogen spectrum consists of distinct spectral lines, representing specific wavelengths of light emitted when electrons transition between energy levels. These spectral lines are unique to hydrogen. Boron, on the other hand, would have its own set of unique spectral lines corresponding to its electron transitions. Therefore, the wavelengths of light emitted by a tube filled with boron would be different from those emitted by a tube filled with hydrogen.

13. The spectral lines for hydrogen and boron support the statement that "The spectral lines for atoms are like fingerprints for humans."

Justification: Each element has its unique set of electron transitions and energy levels, which results in a specific pattern of spectral lines. These patterns act as a fingerprint for the element, just like human fingerprints are unique to individuals. In the case of hydrogen and boron, they both have different spectral line patterns, indicating that they are distinct elements with unique properties.

14. Electrons and protons attract each other.

Justification: According to the fundamental laws of physics, electrons and protons carry opposite electrical charges. Protons have a positive charge, while electrons have a negative charge. Opposite charges attract each other, so electrons and protons attract each other.

15. As an electron gets closer to the nucleus, the attraction to the nucleus gets stronger.

Justification: The attraction between electrons and the positively charged nucleus is based on their opposite charges. The closer an electron is to the nucleus, the stronger the electrostatic attraction becomes between the negatively charged electron and the positively charged nucleus.

16. For an electron to move from an energy level close to the nucleus to an energy level far from the nucleus, it would need to gain energy.

Justification: Electrons in atoms occupy specific energy levels or shells. Moving from a lower energy level to a higher energy level requires the absorption of energy. Therefore, for an electron to move from an energy level close to the nucleus (lower energy level) to an energy level far from the nucleus (higher energy level), it needs to gain energy.

17. For an electron to move from an energy level far from the nucleus to an energy level close to the nucleus, it would need to lose energy.

Justification: When an electron moves from a higher energy level to a lower energy level, it releases energy in the form of photons. This energy is lost by the electron as it transitions to a lower energy level closer to the nucleus. Therefore, for an electron to move from an energy level far from the nucleus (higher energy level) to an energy level close to the nucleus (lower energy level), it needs to lose energy.

18. The electron transition shown in the diagram results in energy being released.

Justification: In the provided diagram, the electron is moving from a higher energy level to a lower energy level. According to Niels Bohr's model, this transition involves the release of energy in the form of light or photons. Therefore, energy is released for the electron transition shown in the diagram.
Mathematics
Step-by-step answer
P Answered by PhD

d. Both I and II are false

Step-by-step explanation:

When there is a high degree of linear correlation between the predictors the errors are found.

The basic objective of the regression model is to separate the dependent and independent variables. So if the variables have high degree of linear correlation then the multi collinearity causes problems or has errors. It is not necessary that multi collinearity must be present with high degree of linear correlation.

For example we have 3 variable of heat length and time. And all of them have a high degree of correlation. With increase in heat and time the length increases . But for multi collinearity with the increase of time and decrease of heat length does not increase. So this causes errors.

y-hat = 135 + 6x + errors

The linear relationship between height and weight is inexact. The deterministic relation in such cases is then modified to allow the inexact relationship between variables and a non deterministic or probabilistic model is obtained which has  error which are unknown random errors.

y- hat= a + bXi + ei   (i=1,2,3...)

ei are the unknown random errors.

So both statements are false.

Mathematics
Step-by-step answer
P Answered by PhD

d. Both I and II are false

Step-by-step explanation:

When there is a high degree of linear correlation between the predictors the errors are found.

The basic objective of the regression model is to separate the dependent and independent variables. So if the variables have high degree of linear correlation then the multi collinearity causes problems or has errors. It is not necessary that multi collinearity must be present with high degree of linear correlation.

For example we have 3 variable of heat length and time. And all of them have a high degree of correlation. With increase in heat and time the length increases . But for multi collinearity with the increase of time and decrease of heat length does not increase. So this causes errors.

y-hat = 135 + 6x + errors

The linear relationship between height and weight is inexact. The deterministic relation in such cases is then modified to allow the inexact relationship between variables and a non deterministic or probabilistic model is obtained which has  error which are unknown random errors.

y- hat= a + bXi + ei   (i=1,2,3...)

ei are the unknown random errors.

So both statements are false.

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