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Mila [183]
3 years ago
13

Is the sequence geometric? if so, identify the common ratio 1/5,2/15,4/45,8/135,16/405,...

Mathematics
2 answers:
Romashka-Z-Leto [24]3 years ago
7 0
So have the sequence: \frac{1}{5} , \frac{2}{15} , \frac{4}{45} , \frac{8}{135} , \frac{16}{145} ,...
To check if the sequence is geometric, we are going to find its common ratio; to do it we are going to use the formula: r= \frac{a_{n} }{a_{n-1}}
where 
r is the common ratio 
a_{n} is the current term in the sequence 
a_{n-1} is the previous term in the sequence
In other words we are going to divide the current term by the previous term a few times, and we will to check if that ratio is the same:

For a_{n}= \frac{2}{15} and a_{n-1}= \frac{1}{5}:
r= \frac{ \frac{2}{15} }{ \frac{1}{5} }
r= \frac{2}{3}

For a_{n}= \frac{4}{45} and a_{n-1}= \frac{2}{15}:
r= \frac{ \frac{4}{45} }{ \frac{2}{15} }
r= \frac{2}{3}

For a_{n}= \frac{8}{135} and a_{n-1}= \frac{4}{45}:
r= \frac{ \frac{8}{135} }{ \frac{4}{45} }
r= \frac{2}{3}
As you can see, we have a common ratio!

We can conclude that our sequence is a geometric sequence and its common ratio is \frac{2}{3} 
Mariulka [41]3 years ago
7 0
<h3>The answer is :</h3>

yes; \frac{2}{3}

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Answer:

The diameter that separates the bottom 9% is 5.02 millimeters.

The diameter that separates the top 9% is 5.2 millimeters.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean of 5.11 millimeters and a standard deviation of 0.07 millimeters.

This means that \mu = 5.11, \sigma = 0.07

Bottom 9%:

The 9th percentile, which is X when Z has a pvalue of 0.09. So X when Z = -1.34.

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

-1.34 = \frac{X - 5.11}{0.07}

X - 5.11 = -1.34*0.07

X = 5.02

The diameter that separates the bottom 9% is 5.02 millimeters.

Top 9%:

The 100 - 9 = 91th percentile, which is X when Z has a pvalue of 0.91. So X when Z = 1.34.

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

1.34 = \frac{X - 5.11}{0.07}

X - 5.11 = 1.34*0.07

X = 5.2

The diameter that separates the top 9% is 5.2 millimeters.

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