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just olya [345]
2 years ago
8

The table shows values for functions

Mathematics
1 answer:
Studentka2010 [4]2 years ago
8 0

Answer:

The study examined stochastic stability of EEG samples recorded in succession from the same healthy volunteer at unchanged state. The absence of statistical repetitions not only for EEG samples, but also for the corresponding spectral densities was proven. A method to calculate the pairwise comparison matrices of ECG samples and quasi-attractors was proposed. The diagnostic effectiveness of these calculations was demonstrated during photostimulation, when successive EEG samples chaotically changed under overall homeostatic conditions.

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References (16)

... It was about the need for a third science that W. Weaver spoke about in 1948 [8]. Now it is the theory of chaos-self-organization, which, according to K. Gödel's theorem, has gone beyond the bounds of deterministic and stochastic science -DSS [9][10][11][12][13][14][15][16][17][18]. ...

... that the European Association of Cardiology recommends registering the heart rate for at least 5 minutes (for example, the parameters of the cardio intervals). At the same time, it is believed that during this period a sample of 300 (or more) cardio intervals will be obtained, and this sample should be quite representative [14][15][16][17][18]. ...

... What kind of evidence-based medicine can we talk about in the study of cardiovascular system if 85% or more of the compared cardio intervals samples do not statistically coincide (they do not belong to the same general population)? Obviously, further use of stochastic methods is not advisable [14][15][16]20-23] for cardiovascular system studying, which was pointed out by W. Weaver [8]. ...

New computational methods for investigation of the third type of systems

Conference Paper

Nov 2021

V. V. EskovM. A. FilatovV. GalkinO. Filatova

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Show abstract

... Иными словами, за последние 20 лет был открыт огромный класс объектов и систем, которые не могут быть диагностированы и смоделированы (описаны) в рамках существующих теорем и моделей (на базе ДСН). В первую очередь, речь идет о работе мозга [8][9][10][11][12] и о поведении любых биосистем, образующих организм человека [13][14][15][16][17]. ...

... С позиций статистики мозг любого человека генерирует непрерывный статистический хаос (неповторяющиеся выборки). 0,00 0,00 0,00 0,00 0,38 0,00 0,00 0,08 0,06 0,00 0,00 0,07 0,00 0,01 10 0,28 0,00 0,01 0,00 0,66 0,21 0,00 0,93 0,06 0,00 0,00 0,36 0,00 0,00 11 0,31 0,00 0,30 0,06 0,03 0,52 0,01 0,15 0,00 0,00 0,00 0,05 0,00 0,00 12 0,00 0,00 0,02 0,03 0,00 0,00 0,19 0,00 0,00 0,00 0,00 0,00 0,00 0,00 13 0,90 0,00 0,10 0,04 0,21 0,66 0,00 0,97 0,07 0,36 0,05 0,00 0,00 0,00 14 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 0,00 15 0,00 0,58 0,00 0,00 0,00 0,00 0,00 0,00 0,01 0,00 0,00 0,00 0,00 0,00 Такой результат мы получили по всем параметрам организма человека и доказали [12][13][14][15][16][17][25][26][27][28][29][30] особые свойства биосистем. Очевидно, что любая система ИИ на базе ЭВМ не сможет диагностировать стационарное состояние мозга (см. ...

... 1), мышц, работы сердца и т.д. Тем более ИИ не сможет идентифицировать реальные изменения в СТТ (биосистемах) [15][16][17][18][19][20][21][22]. ...

Artificial Intellect with Artificial Neural Networks

Article

Oct 2021

Валерий ЕськовМ.А. ФилатовГ.В. ГазяН.Ф. Стратан

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Show abstract

... These special properties of the TTS (complexity) are based on the lack of statistical stability of any samples of the components of the state vector of any biosystem x=x(t)=(x1, x2, …, xm)T, where xi(t) represents the parameters of the biosystem. This was first proved in the form of the Eskov-Zinchenko effect (EZE) in biomechanics [5][6][7][8][9][10], and then for other biosystems [11][12][13][14][15][16]. The EZE extends not only to samples of tremorograms (TMG), teppinggrams (TPG), electromyograms (EMG), RR intervals (RR) and other parameters of the human body, but also to their spectral densities of signals (SDS), autocorrelations A(t) and other characteristics xi(t). ...

... Elements of this matrix (see table 1) represent the Newman-Keuls test p for pairwise comparison of TMG samples. If p≥0.05, then this compared pair of TMG can be attributed to one (same) sampled population [11][12][13][14][15][16]. From table 1, it follows that the number k1=7 of such pairs is extremely small. ...

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Refer to Exercise 3.122. If it takes approximately ten minutes to serve each customer, find the mean and variance of the total s
garri49 [273]

Answer

a. The expected total service time for customers = 70 minutes

b. The variance for the total service time = 700 minutes

c. It is not likely that the total service time will exceed 2.5 hours

Step-by-step explanation:

This question is incomplete. I will give the complete version below and proceed with my solution.

Refer to Exercise 3.122. If it takes approximately ten minutes to serve each customer, find the mean and variance of the total service time for customers arriving during a 1-hour period. (Assume that a sufficient number of servers are available so that no customer must wait for service.) Is it likely that the total service time will exceed 2.5 hours?

Reference

Customers arrive at a checkout counter in a department store according to a Poisson distribution at an average of seven per hour.

From the information supplied, we denote that

X= Customers that arrive within the hour

and since X follows a Poisson distribution with mean \alpha = 7

Therefore,

E(X)= 7

& V(X)=7

Let Y = the total service time for customers arriving during the 1 hour period.

Now, since it takes approximately ten minutes to serve each customer,

Y=10X

For a random variable X and a constant c,

E(cX)=cE(X)\\V(cX)=c^2V(X)

Thus,

E(Y)=E(10X)=10E(X)=10*7=70\\V(Y)=V(10X)=100V(X)=100*7=700

Therefore the expected total service time for customers = 70 minutes

and the variance for serving time = 700 minutes

Also, the probability of the distribution Y is,

p_Y(y)=p_x(\frac{y}{10} )\frac{dx}{dy} =\frac{\alpha^{\frac{y}{10} } }{(\frac{y}{10})! }e^{-\alpha } \frac{1}{10}\\ =\frac{7^{\frac{y}{10} } }{(\frac{y}{10})! }e^{-7 } \frac{1}{10}

So the probability that the total service time exceeds 2.5 hrs or 150 minutes is,

P(Y>150)=\sum^{\infty}_{k=150} {p_Y} (k) =\sum^{\infty}_{k=150} \frac{7^{\frac{k}{10} }}{(\frac{k}{10})! }.e^{-7}  .\frac{1}{10}  \\=\frac{7^{\frac{150}{10} }}{(\frac{150}{10})! } .e^{-7}.\frac{1}{10} =0.002

0.002 is small enough, and the function \frac{7^{\frac{k}{10} }}{(\frac{k}{10} )!} .e^{-7}.\frac{1}{10}  gets even smaller when k increases. Hence the probability that the total service time exceeds 2.5 hours is not likely to happen.

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3 years ago
Which of the following correctly shows the distributive property?
exis [7]
D
4(x+5) = (4)(x)+(4)(5)
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3 years ago
Pre algebra 45.3n = -181.2 what is n?
Sunny_sXe [5.5K]

Answer:

N= -4

Step-by-step explanation:

Just divide both sides by 45.3 to isolate the variable (n).

Hope this helped :)

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3 years ago
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The ratio of the measures of the acute angles of a right triangle is $8:1$. In degrees, what is the measure of the largest angle
victus00 [196]

Answer:

The angles in the triangle and 10, 80 and 90

Step-by-step explanation:

The two angles that are left in a right triangle add to 90 degrees

8:1 means that there total is 9

8x+1x = 9x

9x = 90

Divide by 9

9x/9 = 90/9

x = 10

8*10 = 80

1*10 = 10

The angles are 80 and 10

The angles in the triangle and 10, 80 and 90

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John read the first 114 pages of a novel, which was 3 pages less than 1/3 of the novel.
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Answer:

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114 + 3 = 117. 117 x 3 = 351.

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