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2 years ago

Experimental and Theoretical Probability are always the same. Question 4 options: True False

Mathematics

1 answer:

tiny-mole [99]2 years ago

3 0

Correct answer is false. i hope this helps if it does i hope i earn brainliest answer and have a fantastic day:)

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Gavin has 10 identical US coins in his pocket. The total value of the coins in cents is represented by 10 X. What does the varia

saveliy_v [14]

The X represents the value of the coin.

5 0

3 years ago

Write in slope-intercept form the equation of the line that is parallel to the line y=2/3x-6 and passes through the point (3,3)

ser-zykov [4K]

Answer: y=2/3x+1

Step-by-step explanation:

y=2/3x-6

y=2/3x+b ==> Parallel to y=2/3x-6 since they both have the same slope

3=2/3 (3)+b

3=2*3/3 +b

3=6/3 +b

3=2+b

b=1

y=2/3x+1

6 0

1 year ago

If a point is randomly selected from the rectangular area of the graph, what is the probability that it will be in the blue regi

nika2105 [10]

Answer:

Step-by-step explanation:

just took it

5 0

3 years ago

We're rounding to the thousands place. Between what two thousands is 9,364? Label the endpoints. **) 9,000

Aneli [31]

It’s between 9,000 and 10,000

8 0

3 years ago

It is known that the length of time that people wait for a city bus to arrive is right skewed with mean 6 minutes and standard d

Natali [406]

Answer:

The standard deviation of the sampling distribution of the sample wait times is of 0.8 minutes.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes 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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30. Otherwise, the mean and the standard deviations holds, but the distribution will not be approximately normal.

Standard deviation 4 minutes.

This means that $\sigma = 4$

A sample of 25 wait times is randomly selected.

This means that $n = 25$

What is the standard deviation of the sampling distribution of the sample wait times?

$s = \frac{4}{\sqrt{25}} = 0.8$

The standard deviation of the sampling distribution of the sample wait times is of 0.8 minutes.

4 0

2 years ago