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yaroslaw [1]
3 years ago
6

What are the sides of each figure

Mathematics
1 answer:
Naya [18.7K]3 years ago
8 0
The question to that answer is 10
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The annual 2-mile fun-run is a traditional fund-raising event to support local arts and sciences activities. It is known that th
victus00 [196]

Answer: 0.0228

Step-by-step explanation:

Given : The  mean and the standard deviation of finish times (in minutes) for this event are respectively as :-

\mu=30\\\\\sigma=5.5

If the distribution of finish times is approximately bell-shaped and symmetric, then it must be normally distributed.

Let X be the random variable that represents the finish times for this event.

z score : z=\dfrac{x-\mu}{\sigma}

z=\dfrac{19-30}{5.5}=-2

Now, the probability of runners who finish in under 19 minutes by using standard normal distribution table :-

P(X

Hence, the approximate proportion of runners who finish in under 19 minutes = 0.0228

8 0
2 years ago
Help me pleaseeeeeeeeeeee
zavuch27 [327]
O.6 easy because of the answer that is why
4 0
2 years ago
Starla is measuring the floor of a rectangular room to determine how many square feet of a tile to buy to cover the floor
lbvjy [14]

there isnt much here but answer is width=X and length=Y and X times Y

for example, if you had a room that was 3 feet long and 10 feet wide, it would be 30 square feet.

5 0
3 years ago
What is the factored form of the polynomial?<br> x2 - 12x + 27?
san4es73 [151]

Answer:

(x-9) (x-3)

Step-by-step explanation:

hope this helps:))

6 0
3 years ago
Assume a researcher recruits 150 African American and Caucasian individuals taking warfarin to determine if there is a differenc
Anettt [7]

Answer:

Z=11.0

Step-by-step explanation:

Let Caucasian individuals be the population 1 and African American be the population 2. So, we are given that

n=150

n1=75

mean1=xbar1=6.1.

standard deviation1=S.D1=σ1=1.1.

Variance1=V(x1)=σ1²=1.1²=1.21.

n2=75.

mean2=xbar2=4.3.

standard deviation2=S.D2=σ2=0.9.

Variance2=V(x2)=σ2²=0.9²=0.81.

The z-statistic is

Z=\frac{xbar1-xbar2}{\sqrt{\frac{V(x1)}{n1}+ \frac{V(x2)}{n2} } }

Z=\frac{6.1-4.3}{\sqrt{\frac{1.21}{75}+ \frac{0.81}{75} } }

Z=\frac{1.8}{\sqrt{0.0161+ 0.0108 } }

Z=\frac{1.8}{\sqrt{0.0269 } }

Z=\frac{1.8}{0.164 } }

Z=10.97

Z=11.0

So, the z value obtained while calculating the test statistic is approximately 11.0.

4 0
3 years ago
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