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attashe74 [19]
2 years ago
11

Find the measure of the missing angle .

Mathematics
1 answer:
Nana76 [90]2 years ago
7 0

Answer:

c = 99 and b = 81

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Work out the following giving your answers in their simplest form 2/7 ÷ 3/4​
Usimov [2.4K]

Answer:

8/21

Step-by-step explanation:

2/7 ÷ 3/4

2/7 * 4/3

8/21

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3 years ago
Use the drop-down menus to identify the GCF of each pair of numbers.
horrorfan [7]

Answer:

4, 15, 6, 18.

Step-by-step explanation:

  1. 12 = 1, 2, 3, 4, 6, 12 16 = 1, 2, 4, 8, 16 The GCF of 12 and 16 is 4 because when you compare the numbers that go into 12 and 16, 4 is the highest number that they both are multiples of.

Try the others by yourself and if you have any questions ask me in the comments

4 0
2 years ago
Do the opposite quantities combine to make 0? Mark Yes or No for each.
amid [387]
1. yes
2. no
3. no
4. yes
4 0
1 year ago
I don’t understand the question with the answer options?
antoniya [11.8K]

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Please Contact Your Teacher That Word Is Not Spelled Right Its Suppose To Be Roof Not Root!

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3 0
2 years ago
The average breaking strength of a certain brand of steel cable is 2000 pounds, with a standard deviation of 100 pounds. A sampl
Westkost [7]

Answer:

1963.2 pounds (lbs.)

Step-by-step explanation:

Things to understand before solving:

  • - <u>Normal Probability Distribution</u>
  1. The z-score formula can be used to solve normal distribution problems. In a set with mean ц and standard deviation б, the z-score of a measure X is given by: Z=\frac{X-u}{a}

The Z-score reflects how far the measure deviates from the mean. After determining the Z-score, we examine the z-score table to determine the p-value associated with this z-score. This p-value represents the likelihood that the measure's value is less than X, or the percentile of X. Subtracting 1 from the p-value yields the likelihood that the measure's value is larger than X.

  • - <u>Central Limit Theorem</u>
  1. The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean ц and standard deviation б , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean ц  and standard deviation s=\frac{a}{\sqrt{n} }

As long as n is more than 30, the Central Limit Theorem may be applied to a skewed variable. A specific kind of steel cable has an average breaking strength of 2000 pounds, with a standard variation of 100 pounds.

This means, ц  = 2000 and б = 100.

A random sample of 20 cables is chosen and tested.

This means that n = 20, s=\frac{100}{\sqrt{120} } =22.361

Determine the sample mean that will exclude the top 95 percent of all size 20 samples drawn from the population.

This is the 100-95th percentile, or X when Z has a p-value of 0.05, or X when Z = -1.645. So Z=\frac{X-u}{a}

  • By the Central Limit Theorem

Z=\frac{X-u}{a} \\-1.645=\frac{X-2000}{22.361} \\X-2000=-1.645*22.361

X =1963.2

<h3>Answer:</h3>

The sample mean that will cut off the top 95% of all size 20 samples obtained from the population is 1963.2 pounds.

3 0
2 years ago
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