Answer:
1. B. Erie Canal.
2. K. Second Great Awakening.
3. I. Temperance.
4. A. Abolitionism.
5. J. Fredrick Douglass.
6. G. William Lloyd Garrison.
7. C. Grimke Sisters.
8. E. Nat Turner's Rebellion.
9. H. Horace Mann.
10. D. Elizabeth Cady Stanton.
11. F. Seneca Falls Convention.
The two ways that cinna's request to get brutus involved affect cassius are;
- B. Cinna's request makes Cassius ask him to take an incriminating letter to Brutus.
- C. Cinna's request makes Cassius trust him to return to Pompey's Theatre and meet Cassius there.
<h3>What are the lessons from a passage?</h3>
From the given passage, when Cinna says he wanted Brutus to join them, it propelled Cassius to ask Cinna to deliver a letter to Brutus. Now, this was very obvious when Cassius said "Be you content. Good Cinna, take this paper and look you lay it in the praetor’s chair, where Brutus may but find it. And throw this in at his window. Set this up with wax upon old Brutus’ statue."
Looking at the given options, and comparing with the summary above we can say that options B and C are correct
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The declaration of the data fields myItems and myLowIndex is that they prevent run time errors each time public methods needs to access the private data fields
<h3>How to determine the true statement?</h3>
The boundedintarray is an illustration of arrays and lists
From the complete question, we have the declaration of the data fields:
myItems and myLowIndex
The declaration of the above data fields are used for the following reasons:
- Prevent run time errors
- Allows a public method to access private data fields
Hence, the true statement about the declarations prevent run time errors each time public methods needs to access the private data fields
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MSE is an abbreviation for mean-squared-error and it typically encompasses both variance and bias of a statistical population.
<h3>What is a gamma distribution?</h3>
A gamma distribution can be defined as a two-parameter family of continuous probability distributions which can be described or modeled with a finite number of parameters (α and β).
In probability theory and statistics, MSE is an abbreviation for mean-squared-error and it typically encompasses both variance and bias of a statistical population.
Mathematically, the mean-squared-error (MSE) of a given parameter ˆθ is given by Eθ[(ˆθ - θ)²].
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