In the king's final hours, he received his five-year-old great-grandson, the successor future Louis XV, to share his legacy. He advised his grandson to try to avoid going to war as much as possible, and to focus on relieving the burden on the people. He said that this was the ruin of the people.
<h3>What does
legacy mean?</h3>
A legacy is someone who has three mortal grandparents and one godly grandparent, or who is a further descendant of a particular deity. There is no distinction between a legacy of Ares/Mars and a legacy of Zeus/Jupiter because a legacy only counts the god it is descended from as an ancestor, not that deity's parents or grandparents. But through different ancestral combinations, it is possible to carry the genetic legacy of two or more gods.
As with Octavian's gift of prophecy or Periclymenus' descendants gaining the ability to change their shape, it is demonstrated that legacies can occasionally possess the skills of their divine ancestor. Some legacies do possess the skills of their divine ancestor, but this is only true of some of them.
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Answer:
1.D 2.A 3.C 4.A 5.B 6.C
Explanation:
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Answer:
When light passes through to samples of CuSO₄, the percent transmittance of light, %T, will be lower for Sample 1 compared to Sample 2.
The character trait that defines the boy in Casabianca is: <u>his loyalty.</u>
Casabianca is the name of the young boy who is one of the major character sin "Casabianca".
In Casabianca, the boy, out of loyalty and having a strong sense of duty, had to put up bravery to remain at his post on a French ship that caught fire during the attack of the British.
In spite of the obvious dangers, he remained at his post while waiting for orders from the captain (his dad).
Therefore, the character trait that defines the boy in Casabianca is: <u>his loyalty.</u>
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The proportion of field mice weighing more than 33 grams in the distribution will be about 0.2275
- Mean, μ = 25 grams
- Standard deviation, σ = 4 grams
- Score, X = 33 grams
We need to calculate the P(Z > Zscore)
Recall :
Zscore = (X - μ) ÷ σ
For X > 33 :
Zscore = (33 - 25) ÷ 4 = 2
Therefore, the probability would be expressed as :
P(Z > 2) = 1 - P(Z < 2)
From the normal distribution table :
P(Z < 2) = 0.97725
Therefore,
P(Z > 2) = 1 - 0.97725 = 0.02275
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