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2 years ago

Multiplication two digits by two digits 73x45

Mathematics

2 answers:

FrozenT [24]2 years ago

8 0

Answer:

3,285

Step-by-step explanation:

ycow [4]2 years ago

6 0

Answer:

3285

Step-by-step explanation:

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Find the total surface area of this cone

fenix001 [56]

Answer:

S.A. = 1,017.36

Step-by-step explanation:

S.A. = $\pi r^{2} + \pi rl$

12 x 12 x 3.14 = 452.16

3.14 x 12 x 15 = 565.2

565.2 + 452.16 = 1,017.36

3 0

2 years ago

A sample of blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values

nika2105 [10]

Answer:

For systolic pressure data:

$\bar X =127.2\\\\S=17.91668\\\\CV=\frac{17.91668}{127.2}=0.14085$

For diastolic pressure data:

$\bar X =73.5\\\\S=12.54\\\\CV=\frac{73.5}{12.54}=0.17061$

Systolic pressure is slightly less variable, among individuals in the sample, than diastolic pressure.

Step-by-step explanation:

The coefficient of variation is defined as the percentage relative variation of a set of data with respect to its average. And it is calculated like this:

$CV=\frac{\bar X}{S}$

$S =\sqrt{\frac{1}{n-1} \sum_{i=1}^n (x_i-\bar{x})^2$

$\bar X={\frac{1}{n} \sum_{i=1}^n x_i$

For systolic pressure data:

$\bar X =127.2\\\\S=17.91668\\\\CV=\frac{17.91668}{127.2}=0.14085$

For diastolic pressure data:

$\bar X =73.5\\\\S=12.54\\\\CV=\frac{12.54}{73.5}=0.17061$

It is observed that the systolic pressure shows greater standard deviation but less coefficient of variation. This is due to the greater magnitude of its measurement scale.

Systolic pressure is slightly less variable, among individuals in the sample, than diastolic pressure.

7 0

2 years ago

The area of a rectangle is (4x2 − 49y2) square units. Determine the dimensions of the rectangle by factoring the area expression

Pani-rosa [81]

Answer:

Step-by-step explanation:

$(4x^{2} - 49y^{2} ) = (2x+7y)(2x-7y)$

4 0

2 years ago

Find the degree of the polynomial<br> 5x^3+7x^2-9

Fantom [35]

Answer:

The degree of the polynomial is 3.

6 0

2 years ago

What does the PErron-Frobenius Theorem say, and why is it useful?

Alex787 [66]

Answer:

Perron–Frobenius theorem for irreducible matrices. Let A be an irreducible non-negative n × n matrix with period h and spectral radius ρ(A) = r. Then the following statements hold. The number r is a positive real number and it is an eigenvalue of the matrix A, called the Perron–Frobenius eigenvalue.

5 0

3 years ago