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mojhsa [17]
2 years ago
6

Anyone know the awnser to this?

Mathematics
2 answers:
iragen [17]2 years ago
6 0

Answer:

61

Step-by-step explanation:

straight line = 180 degree

to find the measure of angle QPR,

subtract 119 from 180

=>            180-119

=>            61

angle QPR = 61 degree

Anika [276]2 years ago
5 0

Answer:

Hope the picture will help you!!

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What are the odds in favor of randomly drawing the letter A from the letters in the word ALABAMA?
DaniilM [7]
Four out of seven...

6 0
3 years ago
Read 2 more answers
Please help thank you.
andre [41]
You have a rectangle and 2 triangles:
 rectangle =  12 *6 = 72

larger triangle on left, find the base: 
base = 6 / tan(45) = 6

area = 1/2 x b x h = 1/2 x 6 x 6 = 18

smaller triangle:
 area = 1/2 x b x h
1/2 x 2 x 6 = 6
 

total area:
  72 +6 +18 = 96 cm^2




5 0
3 years ago
What do same side exterior angles add up to
viktelen [127]

Answer:

180

Step-by-step explanation:

3 0
3 years ago
Parts being manufactured at a plant are supposed to weigh 65 grams. Suppose the distribution of weights has a Normal distributio
andrew-mc [135]

Answer:

0.64%.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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 estabilishes 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 75 grams and a standard deviation of 22 grams.

This means that \mu = 75, \sigma = 22

Sample of 144:

This means that n = 144, s = \frac{22}{\sqrt{144}} = 1.8333

More than 80 or less than 70:

Both are the same distance from the mean, so we find one probability and multiply by 2.

The probability that it is less than 70 is the pvalue of Z when X = 70. So

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

By the Central Limit Theorem

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

Z = \frac{70 - 75}{1.8333}

Z = -2.73

Z = -2.73 has a pvalue of 0.0032

2*0.0032 = 0.0064.

0.0064*100% = 0.64%

The probability is 0.64%.

3 0
3 years ago
Composite Figures Question 9.<br> A. 57 ft <br> B. 288 ft<br> C. 208 ft<br> D. 264 ft
Elden [556K]

Answer:

D

Step-by-step explanation:

find area of first rectangle

18 x 6 = 108

find area of second rectangle

20 x 5 = 100

find area of two triangles

7 x 8 =56

56/2 = 28

each triangle has an area of 28

28+28+100+108 = 264ft

8 0
3 years ago
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