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Marina CMI [18]

3 years ago

11

Suppose you have the following recursion formula a1 = 1, a2 = 2, and an = a(n - 1)+ a(n - 2)for integers n ≥ 3. How would you de

termine the next 3 terms?

1 answer:

julia-pushkina [17]3 years ago

8 0

A3=3
a4=5
a5=8

This sequence has properties similar to those of the Fibonacci sequence.

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The old man looked out, then beckoned frantically for Greg to follow him. For a moment Greg couldn’t move. Then he found himself

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Answer:

i think its A?

Step-by-step explanation:

because he is warning greg?

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Make a table of values and graph the solutions of the given equation.

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Answer: 3
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What is the factor for 30n-40

nikitadnepr [17]

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Write 2603094 using exponents?

Artemon [7]

2*10^6 + 6*10^5 + 3*10^3 +9*10^1 +4*10^0

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3 years ago

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Considering the number of questions incorrect from classmates on a quiz {10, 11, 12, 13, 13, 13, 14, 15, 16, 16, 17, 18, 18, 19,

IrinaK [193]

Answer:

According to the Empirical Rule, 68% of the data should fall between 11.98 and 18.02

Step-by-step explanation:

We are given the following data in the question:

10, 11, 12, 13, 13, 13, 14, 15, 16, 16, 17, 18, 18, 19, 20

Formula:

$\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}$

where $x_i$ are data points, $\bar{x}$ is the mean and n is the number of observations.

$Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}$

$Mean =\displaystyle\frac{225}{15} = 15$

Sum of squares of differences = 25 + 16 + 9 + 4 + 4+ 4 + 1 + 0+ 1+ 1 + 4 + 9 + 9+ 16 + 25 = 128

$S.D = \sqrt{\dfrac{128}{14}} = 3.02$

Empirical rule:

According to this rule almost all the data lies within three standard deviation of the mean for a normal distribution.
About 68% of data lies within one standard deviation of the mean.
About 95% of data lies within two standard deviations of mean.
Arround 99.7% of data lies within three standard deviation of mean.

Thus, by empirical rule,

$\mu \pm 1\sigma = 15\pm (3.02) = (11.98,18.02)$

According to the Empirical Rule, 68% of the data should fall between 11.98 and 18.02

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3 years ago