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julsineya [31]
3 years ago
8

Wich of the following number are irrational​

Mathematics
1 answer:
vfiekz [6]3 years ago
6 0
0.13 is the answer to the question
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PLEASE ANSWER!!<br>I NEED HELP!!
34kurt

Answer:49

Step-by-step explanation:

ok

5 0
3 years ago
What is the area of the rhombus?
IRINA_888 [86]

The area of rhombus is 24 square units.

Step-by-step explanation:

Given,

Length of one diagonal = p = 3+3 = 6 units

Length of other diagonal = q = 4+4 = 8 units

Area of rhombus = \frac{pq}{2}

Area of rhombus = \frac{6*8}{2}

Area of rhombus = \frac{48}{2}

Area of rhombus = 24 square units

The area of rhombus is 24 square units.

Keywords: rhombus, area

Learn more about areas at:

  • brainly.com/question/4770892
  • brainly.com/question/4693527

#LearnwithBrainly

5 0
3 years ago
Read 2 more answers
Julio bought a backpack for $40. The sales tax on his purchase was 6%. How much did Julio did the backpack cost Julio, including
Elina [12.6K]

Answer:

The backpack costs $42.40.

Step-by-step explanation:

5 0
3 years ago
Under average driving conditions, the life lengths of automobile tires of a certain brand are found to follow an exponential dis
wariber [46]

Answer:

a) P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

b) P(X>30000|X>15000)=P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}, x>0

And 0 for other case. Let X the random variable that represent "life lengths of automobile tires of a certain brand" and we know that the distribution is given by:

X \sim Exp(\lambda=\frac{1}{30000})

The cumulative distribution function is given by:

F(X) = 1- e^{-\frac{x}{\mu}}

Part a

We want to find this probability:

P(X>30000) and for this case we can use the cumulative distribution function to find it like this:

P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

Part b

For this case w want to find this probability

P(X>30000|X>15000)

We have an important property on the exponential distribution called "Memoryless" property and says this:

P(X>a+t| X>t)=P(X>a)  

On this case if we use this property we have this:P(X>30000|X>15000)=P(X>15000+15000|X>15000)=P(X>15000)

We can use the definition of the density function and find this probability:

P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

7 0
3 years ago
Steve and Marcia bought soda, chips, and gum. • They bought twice as many chips as pieces of gum. • They bought 3 fewer sodas th
serg [7]

Answer:

ok so S=soda C=chips and G=gum

Step-by-step explanation:

From the information,

s+3=c

(1/2)c=g

from this P=s+c+g

P=s+(s+3)+((s+3)/2)

P=5/2s+9/2

7 0
3 years ago
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