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ivann1987 [24]
4 years ago
6

Use Gauss’s approach to find the following sums (do not use formulas).

Mathematics
1 answer:
wel4 years ago
4 0

[A] is the sum of the first 998 consecutive positive integers, so it has 998 terms in it.

Gauss's method involved doubling the sum while grouping terms in a clever way: let <em>S</em> be the sum, so that

<em>S</em> = 1 + 2 + 3 + ... + 996 + 997 + 998

It's also true that

<em>S</em> = 998 + 997 + 996 + ... + 3 + 2 + 1

so that adding these equations together gives

2<em>S</em> = (1 + 998) + (2 + 997) + ... + (997 + 2) + (998 + 1)

2<em>S</em> = 999 + 999 + ... + 999 + 999

We know there are 998 terms on the right side, so

2<em>S</em> = 998 * 999 = 997,002

<em>S</em> = 997,002/2 = 498,501

[B] You can do this one the same way. The hardest part is counting how many terms there are in the sum.

Starting with 1, the <em>n</em>-th positive odd integer is given by 2<em>n</em> - 1. The last term in this sum is 101, so

2<em>n</em> - 1 = 101

2<em>n</em> = 102

<em>n</em> = 102/2 = 51

and the sum contains 51 terms.

Let <em>S</em> denote the sum. Then

<em>S</em> = 1 + 3 + 5 + ... + 97 + 99 + 101

<em>S</em> = 101 + 99 + 97 + ... + 5 + 3 + 1

2<em>S</em> = (1 + 101) + (3 + 99) + ... + (99 + 3) + (101 + 1)

2<em>S</em> = 102 + 102 + ... + 102 + 102

2<em>S</em> = 51 * 102 = 5202

<em>S</em> = 5202/2 = 2601

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Answer:

0.3811 = 38.11% probability that he weighs between 170 and 220 pounds.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 200, \sigma = 50

Find the probability that he weighs between 170 and 220 pounds.

This is the pvalue of Z when X = 220 subtracted by the pvalue of Z when X = 170.

X = 220

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Z = \frac{220 - 200}{50}

Z = 0.4

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Z = \frac{X - \mu}{\sigma}

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A new cruise ship line just launched 3 new ships: the Pacific Paradise, the Caribbean Paradise, and the Mediterranean Paradise.
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c = p + 29
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