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2 years ago

3) Rita has 3/4 m of Ifugao cloth. She used 2/3 m for placement. What part

Mathematics

1 answer:

enot [183]2 years ago

6 0

Answer:

$Unused = \frac{1}{12}m$

Step-by-step explanation:

Given

$Total= \frac{3}{4}m$

$Used= \frac{2}{3}m$

Required

Determine the part left

The part left is calculated using:

$Used + Unused = Total$

$Unused = Total - Used$

$Unused = \frac{3}{4}m - \frac{2}{3}m$

Take LCM

$Unused = \frac{9m - 8m}{12}$

$Unused = \frac{1m}{12}$

$Unused = \frac{1}{12}m$

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barxatty [35]

A) as the exponent decreases by one, the number is divided by 5

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C) as the exponent decreases by one, the number is divided by 3

D) 4⁰ = 4 ÷ 4 = 1

4⁻¹ = 1 ÷ 4 = $\frac{1}{4}$

4⁻² = $\frac{1}{4}$ ÷ 4 = $\frac{1}{16}$

E) 3⁰ = 3 ÷ 3 = 1

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3⁻² = $\frac{1}{3}$ ÷ 3 = $\frac{1}{9}$

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The coefficient of determination is used to: compute correlations for truncated ranges. compare the relative strength of coeffic

kozerog [31]

Answer: compare the relative strength of coefficients.

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3 years ago

In science class, Mrs. Moore’s students were directed to weigh a 300-gram mass on the balance scale. Tina weighed the object and

valentinak56 [21]

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Step-by-step explanation:

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3 years ago

Read 2 more answers

We have two fair three-sided dice, indexed by i = 1, 2. Each die has sides labeled 1, 2, and 3. We roll the two dice independent

Bogdan [553]

Answer:

(a) P(X = 0) = 1/3

(b) P(X = 1) = 2/9

(d) P(X = 3) = 0

(a) P(Y = 0) = 0

(b) P(Y = 1) = 1/3

Step-by-step explanation:

Given:

- Two 3-sided fair die.

- Random Variable X_1 denotes the number you get for rolling 1st die.

- Random Variable X_2 denotes the number you get for rolling 2nd die.

- Random Variable X = X_2 - X_1.

Solution:

- First we will develop a probability distribution of X such that it is defined by the difference of second and first roll of die.

- Possible outcomes of X : { - 2 , -1 , 0 ,1 , 2 }

- The corresponding probabilities for each outcome are:

( X = -2 ): { X_2 = 1 , X_1 = 3 }

P ( X = -2 ): P ( X_2 = 1 ) * P ( X_1 = 3 )

: ( 1 / 3 ) * ( 1 / 3 )

: ( 1 / 9 )

( X = -1 ): { X_2 = 1 , X_1 = 2 } + { X_2 = 2 , X_1 = 3 }

P ( X = -1 ): P ( X_2 = 1 ) * P ( X_1 = 3 ) + P ( X_2 = 2 ) * P ( X_1 = 3)

: ( 1 / 3 ) * ( 1 / 3 ) + ( 1 / 3 ) * ( 1 / 3 )

: ( 2 / 9 )

( X = 0 ): { X_2 = 1 , X_1 = 1 } + { X_2 = 2 , X_1 = 2 } + { X_2 = 3 , X_1 = 3 }

P ( X = -1 ):P ( X_2 = 1 )*P ( X_1 = 1 )+P( X_2 = 2 )*P ( X_1 = 2)+P( X_2 = 3 )*P ( X_1 = 3)

: ( 1 / 3 ) * ( 1 / 3 ) + ( 1 / 3 ) * ( 1 / 3 ) + ( 1 / 3 ) * ( 1 / 3 )

: ( 3 / 9 ) = ( 1 / 3 )

( X = 1 ): { X_2 = 2 , X_1 = 1 } + { X_2 = 3 , X_1 = 2 }

P ( X = 1 ): P ( X_2 = 2 ) * P ( X_1 = 1 ) + P ( X_2 = 3 ) * P ( X_1 = 2)

: ( 1 / 3 ) * ( 1 / 3 ) + ( 1 / 3 ) * ( 1 / 3 )

: ( 2 / 9 )

( X = 2 ): { X_2 = 1 , X_1 = 3 }

P ( X = 2 ): P ( X_2 = 3 ) * P ( X_1 = 1 )

: ( 1 / 3 ) * ( 1 / 3 )

: ( 1 / 9 )

- The distribution Y = X_2,

P(Y=0) = 0

P(Y=1) = 1/3

P(Y=2) = 1/ 3

- The probability for each number of 3 sided die is same = 1 / 3.

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