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zhannawk [14.2K]
3 years ago
5

Determine the value of x in each figure.

Mathematics
2 answers:
RSB [31]3 years ago
7 0

8x = 120

x = 120/8 = 15.

so ans ia 15

velikii [3]3 years ago
3 0

Answer:

x=15is your answer

Step-by-step explanation:

8x=120 vertically opposite angle

x=120/8=15

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Ariana bought 7 muffins she paid 13.02 how much did each muffin cost
nalin [4]

Answer:

About $1.86

Step-by-step explanation:

It could be rounded to $1.90.

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Convert 10/9into a mixed number
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Answer: 1 1/9.

Step-by-step explanation: Divide the numerator by the denominator.  Write the whole number answer.  Make a fraction from the remainder and the original denominator.  To get back to an improper fractions, add the whole number to the numerator.

4 0
4 years ago
You are collecting a sample of 60 data points from a population that you know to follow an exponential distribution. It is not a
11111nata11111 [884]

Answer:

For the exponential distribution:

\mu = \frac{1}{\lambda}

\sigma^2 = \frac{1}{\lambda^2}

We know that the exponential distribution is skewed but the sample mean for this case using a sample size of 60 would be approximately normal, so then we can conclude that if we have a sample size like this one and an exponential distribution we can approximate the sample mean to the noemal distribution and indeed use the Central Limit theorem.

\bar X \sim N(\mu_{\bar X} , \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \bar X

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

Step-by-step explanation:

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

For this case we have a large sample size n =60 >30

The exponential distribution is the probability distribution that describes the time between events in a Poisson process.

For the exponential distribution:

\mu = \frac{1}{\lambda}

\sigma^2 = \frac{1}{\lambda^2}

We know that the exponential distribution is skewed but the sample mean for this case using a sample size of 60 would be approximately normal, so then we can conclude that if we have a sample size like this one and an exponential distribution we can approximate the sample mean to the noemal distribution and indeed use the Central Limit theorem.

\bar X \sim N(\mu_{\bar X} , \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \bar X

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

5 0
4 years ago
Simplify the expression. 7x² + 3 - 5(x² - 4)
Alex17521 [72]
7x^2+3-5x^2+20 = 2x^2+23
4 0
3 years ago
Read 2 more answers
Which of the following is equal to the expression listed above?
MA_775_DIABLO [31]

Answer:

(14 + 7) + 12 = 14 + (7 + 12)

Step-by-step explanation:

Given

(14 + 7) + 12 --- [Missing in question]

Required

Select equivalent expression

(14 + 7) + 12

Associative property states that:

(a + b) + c = a + (b + c)

In this case:

a = 14

b = 7

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So, we have:

(a + b) + c = a + (b + c)

(14 + 7) + 12 = 14 + (7 + 12)

B. is correct

4 0
3 years ago
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