How many inches are there in 10 miles?

Pls help thank you:)

labwork [276]

Answer:

|2x-5|<3

Step-by-step explanation:

.............

4 0

2 years ago

An airplane takes off 12.5 miles south of a city and flies due north at a constant speed of 170 miles per hour. What is the plan

atroni [7]

Answer:

Option B

Step-by-step explanation:

Speed is distance moved per unit tine and is expressed as s=d/t

Making d the subject then

d=st

Where d is distance, s is speed and t is time taken in time.

Conversion

1 hour has 60 minutes hence 45 mins converted to hours will be 45/60=0.75

Substituting 0.75 hours for t and 170 mph for s then

d=0.75*170=127.5 miles due North

However, tge plane had initially moved 12.5 miles hence the relative distance due North will be 127.5-12.5=115 miles due North

7 0

3 years ago

Which value of x will make the following statement false?

wlad13 [49]

Im not for sure but i would say 2003-01-01-00-00-00_files

5 0

3 years ago

90 is 25 percent of what number?

Romashka [77]

25% is equal to 1/4 so that means 90 is 1 out of 4 peaces of that number so you are ganna want to multiplay 90 X 4 to get your answer

3 0

3 years ago

Read 2 more answers

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:

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