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ValentinkaMS [17]
3 years ago
14

A running track has two straight sides with length 140 m and two semicircle ends with radius 70 m. It takes Kat 40 seconds to jo

g 160 m. How long would it take her to jog around the track 51 times? Give your answer in hours and minutes, to the nearest minute.
Mathematics
1 answer:
SIZIF [17.4K]3 years ago
6 0

Answer:

hui Jeff gfy if fry uncut ugh fu u

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WILL GIVE BRAINIEST!!
Snezhnost [94]
Hm let's see the answer should be by the definition of isosceles triangle
7 0
3 years ago
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Yann will be x years old y years from now. How old was he z years ago?
erastova [34]
Here we can change the variables to real numbers, just to make things easier for us. For the sake of calculation, let’s say that x=10, y=6, and z=1.

So, y years from now, Yann will be x years old. If we plug in our randomly chosen numbers, we get that Yann will be 10 years old 6 years from now. This means that today, he would be x-y years old, or 10-6, so 4 years old today.
Next we ask how old he was z years ago, or in this case, 1 year ago. We know that if you’re 4 years old now, you were 3 years old last year. In other words, you’re 4-1 years old, or x-y-z years old.

Your answer is x-y-z.
8 0
4 years ago
The graph below plots a function f(x): graph of line segment going through ordered pairs 0, 100 and 3, 220 If x represents time,
Alja [10]

m = (y2 - y1)/(x2 - x1)

m =(220 - 100)/(3 - 0)

m = 120/3

m = 40

Hope this helps!

~LENA~

5 0
3 years ago
Read 2 more answers
Suppose that are Yi.....Yn are i.i.d random variables with a Nâ(âμY, Ï^2Y â) distribution. How would the probability density of
svp [43]

Answer:

b. As the sample size â increases, the variance of decreases. â So, the distribution of becomes highly concentrated around.

Step-by-step explanation:

Let : Yi,.... Yn are = i.i.d are random variables. The probability density of the distribution varies along with the sample size. When the sample size changes, the probability density of $E^3$ also changes.

The probability distribution may be defined as the statistical expression which defines the likelihood of any outcome for the discrete random variable and it can be opposed to the continuous random variable.

In the context, when the size of the sample of the distribution size increases, it causes a decrease in the variance and so the distribution becomes highly concentrated around.

5 0
3 years ago
On a particular day, the wind added 4 miles per hour to Jaime's rate when she was rowing with the wind and subtracted 4 miles pe
larisa [96]
Nice so
remember
t=d/s
a(b+c)=ab+ac

time=distance/speed

lets say s=jamie's normal speed
speed agains wind=s-4
speed with wind=s+4

30 miles is agains wind
distance is 54 with wind


t=d/s
t=30/(s-4)
t=54/(s+4)

since they are both equal to t, set them equal to each other

30/(s-4)=54/(s+4)
multipliy both sides by (s+4)(s-4)
30(s+4)=54(s-4)
distribute
30s+120=54s-216
subtract 30s from both sides
120=24s-216
add 216 to both sides
336=24s
divide both sides by 24
14=s


answer is 14 miles per hour without wind
8 0
3 years ago
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