HELP PLSS plssssssss

1/9+29/8 what is the answer? ps: i need to show my work

miskamm [114]

1/9 =   1.11
29/8 = 3.63
   -------
   3.73 = 269/72

or....
1/9 >>> 8/72    (72 is the common denominator) (Multiply the N and D by 8)
29/8 >>> 261/72    (72 is the common denominator) (Multiply the N and D by 9)
   -------------
   269/72

6 0

2 years ago

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The price of a sweater was reduced from $20 to $12. By what percentage was the price of the sweater reduced

kirill [66]

Answer:

The price was decreased by 40%

Step-by-step explanation:

Take the original price and subtract the new price

20-12 = 8

Divide by the original price

8/20 = .4

Change to a percent

40 %

The price was decreased by 40%

4 0

2 years ago

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If the function rule is 5x, what is the value when x = 3?

cupoosta [38]

This means that we will plug 3 into our x values.

Our rule is 5x.

This means that:
5(3)

This means our final answer will be 15.

3 0

2 years ago

Eileen drove for 85 minutes. This is 21 more minutes than one third the number of minutes Ethan drove. How do I put this into an

Lapatulllka [165]

So let's start out by labeling Ethan as X

Since 85 is 1/3 of what Ethan drove, that means Ethan drove 3 times of 85.

85= (3x) -21
85 -21 = 3x
60=3x
20 = x

6 0

2 years ago

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Data collected at Toronto Pearson International Airport suggests that an exponential distribution with mean value 2725hours is a

Ivan

Answer:

a) What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

$P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48$

At most 3 hours?

$P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667$

b) What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

$P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X$

What is the probability that it is less than the mean value by more than one standard deviation?

$P(X$

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:

$P(X=x)=\lambda e^{-\lambda x}$