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Kruka [31]
2 years ago
10

In a right triangle, the hypotenuse is 12 cm and one leg is 7 cm. What is the length of the other leg? A. 11.7 cm B. C. 12.7 cm

B. 9.7 cm D. 7.9 cm​
Mathematics
1 answer:
fenix001 [56]2 years ago
3 0

Answer:

B. 9.7

Step-by-step explanation:

√12²-7²=√144-49=√95=9.7

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Simply the expression.
irina1246 [14]
The answer is ctually 44 
68-2 (3x1)4
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4 0
3 years ago
Please help me with this problem
deff fn [24]

Answer:

C.  -3(√y)(∛x²)

Step-by-step explanation:

Recall the rule for exponents with fractions.  The numerator represents the power the variable is raised by, and the denominator represents the which root will be taken.  

y^1/2 equals √y

and x^2/3  equals ∛x²

So the answer is -3(√y)(∛x²)

Look at the attached image for more clarification

7 0
2 years ago
AABC with vertices A(- 2, 3), B(3, - 3) , and C(- 2, - 3) is shown below.
kicyunya [14]

Answer:

ab= 7.8

ac= 6

bc=5

Step-by-step explanation:

4 0
2 years ago
Which statements about the graph of the function f(x) = –x2 – 4x + 2 are true? Check all that apply.
qwelly [4]
<span>FALSE - The domain is all real numbers
TRUE - downward parabola, max-point vertex (-2, 6) So the range is </span><span>{y|y ≤ 6}.</span><span>
TRUE - increases to vertex over the interval (–∞ , –2).
FALSE - The function only decreases from vertex over the interval (−2, ∞).
TRUE - The function has a positive y-intercept. -(0)^2 - 4(0) + 2 = 2 </span>

4 0
3 years ago
A population has mean 187 and standard deviation 32. If a random sample of 64 observations is selected at random from this popul
Zina [86]

Answer:

11.51% probability that the sample average will be less than 182

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 are 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, a large sample size 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 = 187, \sigma = 32, n = 64, s = \frac{32}{\sqrt{64}} = 4

What is the probability that the sample average will be less than 182

This is the pvalue of Z when X = 182. So

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

By the Central Limit Theorem

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

Z = \frac{182 - 187}{4}

Z = -1.2

Z = -1.2 has a pvalue of 0.1151

11.51% probability that the sample average will be less than 182

8 0
2 years ago
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