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OLga [1]
3 years ago
15

Are the events below independent or dependent? You roll a die and get a 5. You roll the die a second time and get another 5.

Mathematics
1 answer:
trasher [3.6K]3 years ago
4 0

not sure there is no attachment

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. An Olympic runner completed a 100-meter race with a time of 12.5 seconds. What was her average speed?
svet-max [94.6K]
So you would do 100 divided by 12.5 and that equals 8. So the answer would be 8mph
5 0
3 years ago
Find the area of a regular hexagon with side length 10 m. Round to the nearest tenth.​
Maksim231197 [3]

Answer:

A=259.8\ m^2

Step-by-step explanation:

we know that

The area of a regular hexagon is the same that the area of 6 equilateral triangles

The area of 6 equilateral triangles applying the law of sines is equal to

A=6[\frac{1}{2}b^2sin(60^o)]

where

b is the length side of the regular hexagon

we have

b=10\ m

substitute

A=6[\frac{1}{2}(10)^2sin(60^o)]

A=259.8\ m^2

4 0
3 years ago
You have a standard deck of cards the deck has 52 total cards and contains 4 suits: hearts, clubs, diamonds, and spades. Each su
Pie

Answer:

A. The experimental probability of choosing  a heart is 1/26 greater than the theoretical probability of choosing a heart.

Step-by-step explanation:

I got this question right on Edge.

:)))

3 0
3 years ago
Based on historical data, your manager believes that 40% of the company's orders come from first-time customers. A random sample
Vedmedyk [2.9K]

Answer:

P(0.26 \leq p \leq 0.43)=0.7204-0.0032=0.7172

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

The population proportion have the following distribution

p \sim N(p=0.4,\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.4(1-0.4)}{91}}=0.0514)

And we can solve the problem using the z score on this case given by:

z=\frac{p_o -p}{\sqrt{\frac{p(1-p)}{n}}}

We are interested on this probability:

P(0.26 \leq p \leq 0.43)

And we can use the z score formula, and we got this:

P(\frac{0.26 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}} \leq Z \leq \frac{0.43 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}})

P(-2.726 \leq Z \leq 0.584)

And we can find this probability like this:

P(-2.726 \leq Z \leq 0.584)=P(Z

7 0
3 years ago
Subtract:<br> (-4x-7)-(-5x-2)
Pepsi [2]
I hope this helps you




-4x-7+5x+2


x-5
4 0
3 years ago
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