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Viefleur [7K]
3 years ago
9

Plz I need help! On these 3 questions!

Mathematics
2 answers:
iragen [17]3 years ago
8 0

Answer:

1. Acute Angle

2. MHL

3. LHK and KHJ

Step-by-step explanation:

1. Since GHM has an angle less than 90˚ it is an acute angle

2. MHL is an Right Angle as 110-20 is 90˚ and an right angle is 90˚

3. LHK and KHJ both has an angle of 35˚

Hope this helps!

dem82 [27]3 years ago
3 0

Answer: 1. Angle MHG 2. Angle LHM 3. Angle LHK and KHJ and the measures are 35 each

Step-by-step explanation:

1. The order you put the angle points in isn’t super important, as long as the middle point of the angle stays between the two letters, so angle ABC can be angle CBA as long as the b stays in the middle

2. You can find out the LHM is a right angle by looking at the protractor and counting

3. Congruent = Equal and both angles equal 35 degrees.

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George and Carmen went on a Bicycle trip they took a bus to their starting point and then bike the rest they traveled 200 km in
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Answer:

Step-by-step explanation:

240 km

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3 years ago
The width of a casing for a door is normally distributed with a mean of 24 in and a standard deviation of 0.14 in. The width of
Galina-37 [17]

Answer:

0.2296 = 22.96% probability that the width of the casing exceeds the width of the door by more than 0.25 in.

Step-by-step explanation:

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.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

The width of a casing for a door is normally distributed with a mean of 24 in and a standard deviation of 0.14 in.

This means that \mu_{C} = 24, \sigma_{C} = 0.14

The width of a door is normally distributed with a mean of 23.87 in and a standard deviation of 0.08 in.

This means that \mu_{D} = 23.87, \sigma_{D} = 0.08.

Find the probability that the width of the casing exceeds the width of the door by more than 0.25 in?

This is P(C - D > 0.25).

Distribution C - D:

The mean is:

\mu = \mu_{C} - \mu_{D} = 24 - 23.87 = 0.13

The standard deviation is:

\sigma = \sqrt{\sigma_{C}^2+\sigma_{D}^2} = \sqrt{0.14^2+0.08^2} = 0.1612

Probability:

This probability is 1 subtracted by the pvalue of Z when X = 0.25. So

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

Z = \frac{0.25 - 0.13}{0.1612}

Z = 0.74

Z = 0.74 has a pvalue of 0.7704

1 - 0.7704 = 0.2296

0.2296 = 22.96% probability that the width of the casing exceeds the width of the door by more than 0.25 in.

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olga nikolaevna [1]

Answer:

55 feet

Step-by-step explanation:

40+15 feet

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Answer:

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Select Repeating or Nonrepeating to correctly classify each decimal.
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