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jok3333 [9.3K]
3 years ago
12

6 inches for every horizontal change of 12 inches

Mathematics
1 answer:
steposvetlana [31]3 years ago
6 0
Skjsjskskskkskskskksskksksksksksks
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2(-2-4) = use the distributive property to expand the expression below.
Doss [256]

Answer:

-12

Step-by-step explanation:

First, solve in parentheses.

2(-2-4)

=

2(-6)

Next, multiply 2 by -6.

Which equals -12.

So therefore using the distributive property shown above, the answer would be -12.

6 0
2 years ago
Read 2 more answers
Find the length of ac
maksim [4K]

Answer:

\boxed{AC = 42.99}

Step-by-step explanation:

Tan 34 = \frac{opposite}{adjacent}

Where opposite = 29, adjacent = AC

So,

0.674 = \frac{29}{AC}

AC = \frac{29}{0.674}

AC = 42.99

8 0
3 years ago
The body temperatures of adults are normally distributed with a mean of 98.6degrees° F and a standard deviation of 0.60degrees°
Schach [20]

Answer:

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

Step-by-step explanation:

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

Normal probability distribution:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, 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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 98.6, \sigma = 0.6, n = 36, s = \frac{0.6}{\sqrt{36}} = 0.1

If 36 adults are randomly​ selected, find the probability that their mean body temperature is greater than 98.4degrees° F.

This is 1 subtracted by the pvalue of Z when X = 98.4. So

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

By the Central Limit Theorem

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

Z = \frac{98.4 - 98.6}{0.1}

Z = -2

Z = -2 has a pvalue of 0.0228

1 - 0.0228 = 0.9772

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

6 0
3 years ago
Create an expression to the phrase "7 more than the product of 6 and the number n"
8090 [49]
6n+7, 13,19,25,31,37
4 0
3 years ago
What equation can represent 3 increased by a numbwr x is 9
Ksivusya [100]

Answer:

fa

Step-by-step explanation:

4 0
3 years ago
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