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Eva8 [605]
3 years ago
8

In how many ways can ann, bob, chuck, don and ed be seated in a row such that ann and bob are not seated next to each other?

Mathematics
1 answer:
balandron [24]3 years ago
7 0
The 5 people can seat in a row in 5! ways
But we need to exclude the ways <span>that ann and bob are seated next to each other which is = 4! * 2!
</span>
So, the number of <span>ways can ann, bob, chuck, don and ed be seated in a row such that ann and bob are not seated next to each other = 5! - 4! * 2! = 72
</span>
<span>=====================================================
</span>
<span>Another solution:
</span>
<span>If ann seated in one of the ends, the number of ways = 3*2
</span>
<span>If ann didn't seat in one of the ends , the number of ways = 2*3
</span>
So, the total number of <span>ways that can <span>ann, bob be seated = 3*2 + 2*3 = 12
</span></span>
The remaining persons can seat with a number of ways = 3! = 6
So, the total ways that the five persons can seat = 12*6 = 72
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The average national SAT score is 1119. If we assume a bell-shaped distribution and a standard deviation equal to 206, what perc
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Solution: We are given:

\mu=1119, \sigma =206

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In order to find the percentage of scores that fall between 501 and 1737, we use the z score formula first:

When x = 501, we have:

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When x = 1737, we have:

z=\frac{x-\mu}{\sigma}

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Therefore, we have to find P(-3\leq z \leq 3).

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Therefore, 99.7% of scores will fall between 501 and 1737.

b. what percentage of scores will fall between 707 and 1531?

In order to find the percentage of scores that fall between 707 and 1531, we use the z score formula first:

When x = 707, we have:

z=\frac{x-\mu}{\sigma}

        =\frac{707-1119}{206}=-2

When x = 1531, we have:

z=\frac{x-\mu}{\sigma}

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Therefore, we have to find P(-2\leq z \leq 2).

From the empirical rule of normal distribution 95% of data falls within 2 standard deviation's from mean.

Therefore, 95% of scores will fall between 707 and 1531.

c. what percentage of scores will fall between 931 and 1325?

In order to find the percentage of scores that fall between 931 and 1325, we use the z score formula first:

When x = 931, we have:

z=\frac{x-\mu}{\sigma}

        =\frac{931-1119}{206}=-1

When x = 1325, we have:

z=\frac{x-\mu}{\sigma}

        =\frac{1325-1119}{206}=1

Therefore, we have to find P(-1\leq z \leq 1).

From the empirical rule of normal distribution 68% of data falls within 1 standard deviation's from mean.

Therefore, 95% of scores will fall between 707 and 1531.


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