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agasfer [191]
3 years ago
13

I need this by the end of the hour please help my Geometry brainliest plus 50 points...

Mathematics
2 answers:
Genrish500 [490]3 years ago
4 0
1=45
2=135
3=135
6=45
7=45
8=135
9=90
12=90
4 and 1 are opposite, and thus equal, angles.
7 and 5 are supplementary angles, and thus they add up to 180 degrees. To get 7, you subtract 135 degrees from 180.
9 and 10 are supplementary and equal since all four those angles are 90 degrees.
goldfiish [28.3K]3 years ago
3 0
Part b is 1: (4 and 1)
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7 degrees celcious

-2+9= 7
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3 years ago
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What is the reason for statement 2 of the two-column proof?<br> Given: Prove: m Helpppppp!!!!!!
Strike441 [17]

Answer:

We have been given that PQ bisects . In the second statement of the given two-column proof, the statement is .

This implies that the two angles formed by bisection of angle  by the line PQ are equal. We know that the reason for this is simple. It is the definition of bisection of an angle that the two smaller angles formed will be equal to each other.

Therefore, the reason for statement 2 of the given two column proof is c) Definition of bisect

Step-by-step explanation:

7 0
3 years ago
the ages of mother and daughter are in the ratio of 5 : 3 if the age of mother is 50 years find the age of her daughter ​
netineya [11]

Answer:

30 years

Step-by-step explanation:

Forming Algebraic expressions and solving them to find the age.

Ratio of age of mother and daughter = 5 : 3

Age of mother = 5x

Age of daughter = 3x

It is given that mother's age is 50 years.

⇒ 5x = 50

Divide both sides by 5.

  x = 50÷5

 x = 10

Daughter's age = 3x

                          = 3*10

                         = 30 years

5 0
2 years ago
QUESTION THREE (30 MARKS) 3.1 The mass of a standard loaf of white bread is, by law meant to be 700g with a population standard
kiruha [24]

Using the normal distribution and the central limit theorem, it is found that  there is a 0.0284 = 2.84% probability of finding a sample mean mass of 695g or below.

----------------------------------

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

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.

----------------------------------

  • Mean of 700g means that \mu = 700
  • Standard deviation of 21g means that \sigma = 21
  • Sample of 64, thus n = 64
  • <u>For the sampling distribution of the sample mean</u>, the standard deviation is of s = \frac{21}{\sqrt{64}} = \frac{21}{8} = 2.625

The probability of finding a sample mean mass of 695g or below is the p-value of Z when X = 695, thus:

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{695 - 700}{2.625}

Z = -1.905

Z = -1.905 has a p-value of 0.0284.

0.0284 = 2.84% probability of finding a sample mean mass of 695g or below.

A similar problem is given at brainly.com/question/22934264

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3 years ago
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Stop it’s d. yw lol
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3 years ago
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