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Assoli18 [71]
2 years ago
10

Chaucer explores the idea that appearances can be deceiving through the character of the old woman. how does this theme relate t

o the earlier events in the tale?
Mathematics
1 answer:
Inessa [10]2 years ago
7 0
Since the plot of "The Wife of Bath's Tale" has at its heart a loathly lady who shape-shifts into a beautiful, young damsel, we might expect appearances to be important here. And they are, just not for the reason you might think. For instead of this being a tale about how a knight learns to appreciate people for what's on the inside and that outer appearances don't matter, it's a tale about how a knight learns to give up sovereignty to his wife. That sovereignty includes power over the body. The loathly lady's physical appearance becomes an important symbol of that body, so that, at the end of the tale, when she offers her husband a choice about how he wants her to look, she's in essence offering him control of her body. He grants this control back to her, thus proving his understanding of the doctrine of women's sovereignty in marriage. Medieval stories don't necessarily go in for the whole 'appearances don't mean anything' maxim anyway, as we've seen in the "General Prologue<span>."</span>
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Answer:

The lines a and b are parallel

Step-by-step explanation:

When we will translate line a, then the new line b will be formed.

Now, as translation preserves orientation each point on line a will be equidistant from line b , thus holding the condition and satisfying the property of two parallel lines.

Hence, line a and line b are parallel to each other.


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Factor 147a^2b-675b^3
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Answer:Factor the polynomial

3(a−4b)2

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A survey finds that 48% of people identify themselves as fans of professional football, 12% as fans of car racing, and 9% as fan
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P(F/C) = 0.75

P(C^F) = 0.09

P(C^F) = P(F^C)

Step-by-step explanation:

P(C^F) = 9% = 0.09

P(C^F) = P(F^C)

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The 99 percent confidence interval for the average weight of a product is from 71.36 lbs. to 78.64 lbs. Can we conclude that μ i
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Answer:

Step-by-step explanation:

Hello!

To decide over a hypothesis test using a confidence interval the following conditions are to be met:

1. The hypotheses should be two-tailed.

2. The hypotheses and the confidence interval should be made for the same parameter.

3. The confidence level and the significance level should be complementary, so if the CI is 1-α: 0.99 the level of significance should be α: 0.01

If all conditions are met, the decision rule is the following:

If the value stated in the null hypothesis is contained by the CI, the decision is to not reject the null hypothesis.

If the value stated in the null hypothesis is not contained by the CI, the decision is to reject the null hypothesis.

Let's say in this example the hypotheses are:

H₀: μ = 71

H₁: μ ≠ 71

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99% Confidence level is (71.36;78.64).

As you can see, 71 is not contained in the CI so the decision to take is to reject the null hypothesis, in other words, the population mean is not 71.

I hope it helps!

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