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Setler79 [48]
2 years ago
7

Find the correct sum of each geometric sequence.

Mathematics
2 answers:
Alex777 [14]2 years ago
5 0
A geometric sequence with first term "a" and common ratio "r" has "nth" term:

ar^(n-1)

And the sum of a geometric sequence with "n" terms, first term "a," and common ratio "r" has the sum "a(r^n - 1)/r - 1.

1.) 765

2.) 300

3.) 1441

4.) 244

5.) 2101
grin007 [14]2 years ago
3 0

Answer:

1.765

2.301

3.1441

4.183

5.2101

Step-by-step explanation:

We are given that

1.a_1=3, a_8=384,r=2

We know that sum of nth term in G.P is given by

S_n=\frac{a(r^n-1)}{r-1} when r > 1

S_n=\frac{a(1-r^n)}{1-r} when r < 1

n=8, r=2 a=3

Therefore,S_8=\frac{3((2)^8-1)}{2-1} because r > 1

S_8=3\times (256-1)=765

1. Sum of given G.P is 765

2.a_1=343,a_n=-1,r=-\frac{1}{7}

nth term of G.P is given by the formula

a_n=ar^{n-1}

Therefore , applying the formula

-1=343\times (\frac{-1}{7}}^{n-1}

\frac{-1}{343}=(\frac{-1}{7})^{n-1}

(\frac{-1}{7})^3=(\frac{-1}{7})^{n-1}

When base equal on both side then power should be equal

Then we get n-1=3

n=3+1=4

Applying the formula of sum of G.P

S_4=\frac{343(1-(\frac{-1}{7})^4)}{1-\frac{-1}{7}} where r < 1

S_4=\frac{343(1+\frac{1}{343})}{\frac{8}{7}}

S_4=343\times\frac{344}{343}\times\frac{7}{8}

S_4=301

3.a_1=625, n=5,r=\frac{3}{5} < 1

Therefore, S_5=\frac{625(1-(\frac{3}{5})^5)}{1-\frac{3}{5}}

S_5=625\times \frac{3125-243}{3125}\times \frac{5}{2}

S_5=625\times\frac{2882}{3125}\times\frac{5}{2}

S_5=1441

4.a_1=4,n=5,r=-3

S_5=\frac{4(1-(-3)^5}{1-(-3)} where r < 1

S_5=\frac{3(1+243)}{1+3}

S_5=3\times 61=183

5.a_1=2402,n=5,r=\frac{-1}{7}

S_5=\frac{2401(1-(\frac{-1}{7})^5)}{1-\frac{-1}{7}} r < 1

S_5=\frac{2401(1+\frac{1}{16807})}{\frac{7+1}{7}}

S_5=2401\times\frac{16808}{16807}\times\frac{7}{8}

S_5=2101

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Answer:

<u>The correct answer is that the number of different ways that the letters of the word "millennium" can be arranged is 226,800</u>

Step-by-step explanation:

1. Let's review the information provided to us to answer the question correctly:

Number of letters of the word "millennium" = 10

Letters repeated:

m = 2 times

i = 2 times

l = 2 times

n = 2 times

2. The number of different ways that the letters of millennium can be arranged is:

We will use the n! or factorial formula, this way:

10!/2! * 2! * 2! * 2!

(10 * 9 * 8 * 7 * 6 * 5 * 4 * 3 * 2 * 1)/(2 * 1) * (2 * 1) * (2 * 1) * (2 *1)

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<u>The correct answer is that the number of different ways that the letters of the word "millennium" can be arranged is 226,800</u>

7 0
2 years ago
​z+w−3 ​6z−10w ​​ ​=k ​=8 ​​ consider the system of equations above, where kkk is a constant. for which value of kkk are there i
Reptile [31]
Our system is the following :
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1 year ago
Hard times In June 2010, a random poll of 800 working men found that 9% had taken on a second job to help pay the bills. (www.ca
Phoenix [80]

Answer:

a) The 95% confidence interval would be given (0.0702;0.1098).

We can conclude that the true population proportion at 95% of confidence is between (0.0702;0.1098)

b) Since the confidence interval NOT contains the value 0.06 we  have anough evidence to reject the claim at 5% of significance.  

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

p represent the real population proportion of interest  

\hat p =0.09 represent the estimated proportion for the sample  

n=800 is the sample size required  

z represent the critical value for the margin of error  

Confidence =0.95 or 95%

Part a

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})  

The confidence interval would be given by this formula  

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}  

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=1.96  

The margin of error is given by :

Me=z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

Me=1.96 \sqrt{\frac{0.09(1-0.09)}{800}}=0.0198

And replacing into the confidence interval formula we got:  

0.09 - 1.96 \sqrt{\frac{0.09(1-0.09)}{800}}=0.0702  

0.09 + 1.96 \sqrt{\frac{0.108(1-0.09)}{800}}=0.1098  

And the 95% confidence interval would be given (0.0702;0.1098).

We can conclude that the true population proportion at 95% of confidence is between (0.0702;0.1098)

Part b

Since the confidence interval NOT contains the value 0.06 we  have anough evidence to reject the claim at 5% of significance.

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<h3>Answer with explanation:</h3>

It is given that:

Circle 1 has center (−4, −7) and a radius of 12 cm.

Circle 2 has center (3, 4) and a radius of 15 cm.

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so,

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( Since, the radius of circle 1 is 12 and that of circle 2 is 15 cm.

so, let the scale factor be k .

that means :

12\times k=15\\\\k=\dfrac{15}{12}\\\\k=\dfrac{5}{4}  )

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1 year ago
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