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2 years ago

What is the y-intercept of the graph below?

Mathematics

1 answer:

Fynjy0 [20]2 years ago

6 0

Answer:

Step-by-step explanation:

the y- intercept is the point on the y- axis where the line crosses it

the line crosses the y - axis at (0, - 4 ) ← y- intercept

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mridul jogs around a rectangular park of 100m by 80m at the rate of 9km per hour. how much time will he take in jogging 6 rounds

anyanavicka [17]

Answer:

14minutes

Step-by-step explanation:

first you need to find the distance which you must find the perimeter P=100+80+100+80

=360 so you multiple it by 6 to get

=2160meters

so you need to convert the meters to kilometers

which is 1000m =1km

what about 2160m you cross multiply

to get 2.16km.

so the distance represent D=2.16 km

and speed represent S=9km

now you need to find time represented by T

T=D/S

T=2.16km/9km/h

so the km cancels each other

you get 0.24h for this isn't the solution

you know that 1 hour= 60 minutes

 what about 0.24h you cross multiply

to get 14.4 so you round it off to get 14 minutes

3 0

3 years ago

8+0=0+8 is what property

lubasha [3.4K]

Answer:

The property used is the commutative property.

Step-by-step explanation:

In the commutative property, the sum is the same if you reorder the numbers.

I hope this helped! :-)

5 0

3 years ago

Read 2 more answers

What is a double angle identity to find the exact value of cos?

olya-2409 [2.1K]

find three consecutive number whose sum shall equal 45

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2 years ago

In a large population, 82% of the households have cable tv. A simple random sample of 225 households is to be contacted and the

anzhelika [568]

Answer:

The mean of the sampling distribution of the sample proportions is 0.82 and the standard deviation is 0.0256.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .