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Mazyrski [523]
3 years ago
11

A sequence is defined by the recursive formula f(n+1)=f(n)-2. If f(1)=18,what is f(5)?

Mathematics
2 answers:
vladimir2022 [97]3 years ago
7 0

The answer is for this problem is 10

Hatshy [7]3 years ago
4 0
To find f(5), you need to know f(4), to know f(4), you need to find f(3), to know f(3), you need to know f(2)
<span>Use the recursive formula f(n+1)=f(n)-2,
</span>f(2)=f(1)-2, and f(1)=18 is given, so f(2)=18-2=16
f(3)=f(2)-2=16-2=14
f(4)=12
f(5)=10

another way to do it is using the formula: the nth term=the first term +d(n-1)
d represents the difference, which is -2 in this case
so f(5)=f(1)-2(5-1)
f(5)=18-8=10
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Suppose tree diameters are normally distributed with mean 8.8 inches and standard deviation 2.8 inches. What is the probability
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P(X>10)=P(\frac{X-\mu}{\sigma}>\frac{10-\mu}{\sigma})=P(Z>\frac{10-8.8}{2.8})=P(z>0.429)

And we can find this probability with this difference and using the normal standard table or excel:

P(z>0.49)=1-P(z

Step-by-step explanation:

Previous concepts

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".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the diameters of a population, and for this case we know the distribution for X is given by:

X \sim N(8.8,2.8)  

Where \mu=8.8 and \sigma=2.8

We are interested on this probability :

P(X>10)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(X>10)=P(\frac{X-\mu}{\sigma}>\frac{10-\mu}{\sigma})=P(Z>\frac{10-8.8}{2.8})=P(z>0.429)

And we can find this probability with this difference and using the normal standard table or excel:

P(z>0.49)=1-P(z

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3 years ago
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