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Ksenya-84 [330]
3 years ago
9

The simplest version of the game has only one disk. What is the minimum number of moves it would take to move one disk from one

peg to the other?

Mathematics
2 answers:
mel-nik [20]3 years ago
8 0

Answer:

For edge, the first one (this question) it's 1 move, then the second slide is 3 moves.

Pavel [41]3 years ago
5 0

Answer:

3

Step-by-step explanation:

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An interior automotive supplier places several electrical wires in a harness.Apull test measures the force required to pull spli
oksano4ka [1.4K]

Answer:

a) For this case we can use the following R code to construct the qq plot

> data<-c(28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4)

# The above line is in order to store the data in a vector

> qqnorm(data, pch = 1, frame = FALSE)

# The line above is in order to calculate the quantiles from the data assumin Normal distribution

> qqline(data, col = "steelblue", lwd = 2)

# The line above is in order to put a line for the theoretical dsitribution

The result is on the figure attached.

b) For this case as we can see on the figure attached the calculated quantiles are not far from the theorical quantiles given byt the straaigth blue line so then we can conclude that the distribution seems to be normal.

Step-by-step explanation:

For this case we have the following data:

28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4

The quantile-quantile or q-q plot is a graphical procedure in order to check the validity of a distributional assumption for a data set. We just need to calculate "the theoretically expected value for each data point based on the distribution in question".

If the values are asusted to the assumed distribution, we will see that "the points on the q-q plot will fall approximately on a straight line"

For this case our distribution assumed is normal.

Part a

For this case we can use the following R code to construct the qq plot

> data<-c(28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4)

# The above line is in order to store the data in a vector

> qqnorm(data, pch = 1, frame = FALSE)

# The line above is in order to calculate the quantiles from the data assuming Normal distribution (0,1)

> qqline(data, col = "steelblue", lwd = 2)

# The line above is in order to put a line for the theoretical distribution

The result is on the figure attached.

Part b

For this case as we can see on the figure attached the calculated quantiles are not far from the theorical quantiles given byt the straaigth blue line so then we can conclude that the distribution seems to be normal.

4 0
3 years ago
What is the rate of change of the function?
Dominik [7]
I think it would be -3
5 0
3 years ago
A new school banner is to be 4 1/2 feet wide by 7 1/4 feet long. what is the area? if a fabric for the banner costs $6 a square
lilavasa [31]

The area is 32 5/8 ft squared and It would cost$ 195.75


how to slove: you take the to fractions and mulitply them and get 32 5/8 for the area then you multiply 32 5/8 by 6 to find the price of the banner.

3 0
3 years ago
Greater than or less than the base?
yarga [219]

Answer:

I think grater then?

Step-by-step explanation:

4 0
2 years ago
BRAINLIEST IF CORRECT
lbvjy [14]

Answer:

Step-by-step explanation:

the first is 1/2

second is 1/52

third is 1/4

forth is 1/8

i think thats right any way :)

7 0
3 years ago
Read 2 more answers
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