A roof has a cross section as shown in the diagram below. Find h, the height of the roof.

Mathematics

1 answer:

nordsb [41]3 years ago

7 0

Answer:

Step-by-step explanation:

Hey I'm not sure about the answer coz my calculation maybe wrong but pls to refer and check

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In 2006 the average ticket price for a national football league game was 62.38. Since then the cost has increased an average of

monitta

Answer:

y = 2.54x + 62.38

Step-by-step explanation:

Let x represent the duration or stipulated years after the year 2006

Let y represent the amount of ticket that is sold

Let m represent the average increase in the price every year

y = mx + c

y = 2.54 × x + 62.38

y = 2.54x + 62.38

8 0

2 years ago

Write the equation in slope-intercept form for a line that has a y-intercept of -3 and a slope of 6. Use no spaces in your equat

Lilit [14]

This is slope-intercept form y=mx+b
when you substitute it, it becomes y=6x-3

7 0

3 years ago

Suppose that the walking step lengths of adult males are normally distributed with a mean of 2.5 feet and a standard deviation o

Mumz [18]

Answer:

0% probability that the mean of the sample taken is less than 2.2 feet.

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 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 $s = \frac{\sigma}{\sqrt{n}}$ .