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Strike441 [17]
3 years ago
5

*MAJOR POINT BOOST* describe the fibonacci sequence in a detailed explanation

Mathematics
1 answer:
Kryger [21]3 years ago
4 0
The Fibonacci Sequence is a stream of numbers that typically begins with a "0" or "1". From there, any number placed after would be added to the previous number. 
For instance, if I started with a "1", and the next number was a "2", the number after would be a "3". From this "3", it would be a "5", the next number would then be a "8". 
It would look like this:
1, 2, 3, 5, 8
You might be interested in
A population has a mean of 200 and a standard deviation of 50. Suppose a sample of size 100 is selected and x is used to estimat
zmey [24]

Answer:

a) 0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b) 0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

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

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 200, \sigma = 50, n = 100, s = \frac{50}{\sqrt{100}} = 5

a. What is the probability that the sample mean will be within +/- 5 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 200 + 5 = 205 subtracted by the pvalue of Z when X = 200 - 5 = 195.

Due to the Central Limit Theorem, Z is:

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

X = 205

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

Z = \frac{205 - 200}{5}

Z = 1

Z = 1 has a pvalue of 0.8413.

X = 195

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

Z = \frac{195 - 200}{5}

Z = -1

Z = -1 has a pvalue of 0.1587.

0.8413 - 0.1587 = 0.6426

0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b. What is the probability that the sample mean will be within +/- 10 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 210 subtracted by the pvalue of Z when X = 190.

X = 210

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

Z = \frac{210 - 200}{5}

Z = 2

Z = 2 has a pvalue of 0.9772.

X = 195

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

Z = \frac{190 - 200}{5}

Z = -2

Z = -2 has a pvalue of 0.0228.

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

7 0
3 years ago
How to solve 3x+7+2=33
Dima020 [189]
3x+7+2=33 \\ 3x+9=33 \\ 3x=24 \\ x= \frac{24}{3} \\ \boxed{x=8}
6 0
3 years ago
Read 2 more answers
Consider the original triangle and the enlargement,<br> 2 cm<br> 8 cm<br> 3 cm
LenKa [72]

Answer:

12 cm

Step-by-step explanation:

2x4=8

3x4=12

Thats why

4 0
2 years ago
What is the equation of this line in slope-intercept form?
Sloan [31]

The correct answer is A) y = -3x - 1

In order to find this, start by using the two points on the line to find the slope.

m(slope) = (y2 - y1)/(x2 - x1)

m = (-4 - 2)/(1 - -1)

m = -6/2

m = -3

Since A is the only one with a -3 slope, this is the correct answer.

3 0
2 years ago
Which is greater 6.789 or 67.890?
Vlada [557]
67.890, because 67 is greater than 6
3 0
3 years ago
Read 2 more answers
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