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Mnenie [13.5K]
4 years ago
8

A 12-foot ladder is placed against a vertical wall of a building, with the bottom of the ladder standing on the level ground 7 f

eet from the base of the building. How high up the wall does the ladder reach? (Round to the nearest hundredth as needed.)
Mathematics
2 answers:
Elan Coil [88]4 years ago
6 0

Answer: the height that the ladder reaches is 4 feet.

Step-by-step explanation:

The ladder forms a right angle triangle with the building and the ground. The length of the ladder represents the hypotenuse of the right angle triangle. The height, h from the top of the ladder to the base of the building represents the opposite side of the right angle triangle.

The distance from the bottom of the ladder to the base of the building represents the adjacent side of the right angle triangle.

To determine the height that the ladder reaches, h, we would apply Pythagoras theorem which is expressed as

Hypotenuse² = opposite side² + adjacent side²

12² = 7² + h²

144 = 49 + h²

h² = 144 - 49

h² = 95

h = √95

h = 7.45 feet

Airida [17]4 years ago
3 0

Answer:

the ladder reaches up to 9.75 ft. high

Step-by-step explanation:

a^2+b^2=c^2

plug in the numbers

a^2+49=144

then subtract 49 from 144

a^2=95

then sq 95

a=9.75

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The mean annual income for people in a certain city is 37 thousand dollars, with a standard deviation of 28 thousand dollars. A
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And we can ue the z score formula given by:

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Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

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Let X the random variable that represent the annual income of a population, and for this case we know the following info:

\mu=37 and \sigma=28  and we are omitting the zeros from the thousand to simplify calculations

We select a sample size of n=50>30.

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".

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