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babymother [125]
3 years ago
13

I can’t figure out which formula goes with which sequence. Help……. Please???

Mathematics
1 answer:
Radda [10]3 years ago
7 0

For a geometric sequence

<em>a</em>, <em>ar</em>, <em>ar</em> ², <em>ar</em> ³, …

the <em>n</em>-th term in the sequence is <em>ar</em> <em>ⁿ</em> ⁻ ¹.

The first sequence is

1, 3, 9, 27, …

so it's clear that <em>a</em> = 1 and <em>r</em> = 3, and so the <em>n</em>-th term is 3<em>ⁿ</em> ⁻ ¹.

The second sequence is

400, 200, 100, 50, …

so of course <em>a</em> = 400, and you can easily solve for <em>r</em> :

200 = 400<em>r</em>   ==>   <em>r</em> = 200/400 = 1/2

Then the <em>n</em>-th term is 400 (1/2)<em>ⁿ</em> ⁻ ¹.

Similarly, the other sequences are given by

3rd: … 4 × 2<em>ⁿ</em> ⁻ ¹

4th: … 400 (1/4)<em>ⁿ</em> ⁻ ¹

5th: … 5<em>ⁿ</em> ⁻ ¹

6th: … 1000 (1/2)<em>ⁿ</em> ⁻ ¹

7th: … 2 × 5<em>ⁿ</em> ⁻ ¹

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3 years ago
The weights of 83 randomly selected windshields were found to have a variance of 1.88. Construct the 95% confidence interval for
Morgarella [4.7K]

Answer:

95% confidence interval for the population variance = (1.42 , 2.62).

Step-by-step explanation:

We are given that the weights of 83 randomly selected windshields were found to have a variance of 1.88.

<em>So, firstly the pivotal quantity for 95% confidence interval for the population variance is given by;</em>

        P.Q. = \frac{(n-1)s^{2} }{\sigma^{2} } ~ \chi^{2} __n_-_1

where, s^{2} = sample variance = 1.88

           \sigma^{2} = population variance

            n = sample of windshields = 83

So, 95% confidence interval for population variance, \sigma^{2} is;

P(58.85 < \chi^{2} __8_2 < 108.9) = 0.95 {As the table of \chi^{2} at 82 degree of freedom

                                              gives critical values of 58.85 & 108.9}

P(58.85 < \frac{(n-1)s^{2} }{\sigma^{2} } < 108.9) = 0.95

P( \frac{ 58.85}{(n-1)s^{2} } < \frac{1 }{\sigma^{2} } < \frac{108.9}{(n-1)s^{2} } ) = 0.95

P( \frac{ (n-1)s^{2}}{108.9 } < \sigma^{2} < \frac{ (n-1)s^{2}}{58.85 } ) = 0.95

<em><u>95% confidence interval for</u></em> \sigma^{2} = ( \frac{ (n-1)s^{2}}{108.9 } , \frac{ (n-1)s^{2}}{58.85 } )

                                                  = ( \frac{ (83-1)\times 1.88}{108.9 } , \frac{ (83-1)\times 1.88}{58.85 } )

                                                  = (1.42 , 2.62)

Therefore, 95% confidence interval for the population variance of the weights of all windshields in this factory is (1.42 , 2.62).

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Step-by-step explanation:

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