MAT S213 Reviewer 2

MAT S213 Reviewer 2

12th Grade

20 Qs

quiz-placeholder

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MAT S213 Reviewer 2

MAT S213 Reviewer 2

Assessment

Quiz

Mathematics

12th Grade

Medium

Created by

CHRISTOPHER PLAZA

Used 5+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

What is the primary purpose of using Riemann sums in numerical integration?

To approximate the area under a curve

To find the exact value of an integral

To solve differential equations

To calculate the derivative of a function

2.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which of the following best describes the error estimation in numerical integration?

The sum of the absolute values of the derivatives of the function being integrated

The difference between the exact value of the integral and its numerical approximation

The maximum value of the function over the interval of integration

The number of subintervals used in the approximation method

3.

MULTIPLE CHOICE QUESTION

45 sec • 2 pts

3.5

3.0

2.5

2.75

4.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

When using Trapezoidal rule, the number of subintervals must be:

A prime number

An even integer

An odd integer

Any positive integer

5.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which of the following is true about Riemann sums?

They can approximate the area under a curve by summing the areas of rectangles.

They can only be used with continuous functions.

They provide an exact value for the area under a curve.

They are more accurate than the Trapezoidal Rule and Simpson's Rule for all functions.

6.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

For approximating definite integrals, the error in the Trapezoidal Rule generally decreases as:

The function becomes more quadratic

The function becomes more linear

The width of each subinterval increases

The number of subintervals increases

7.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which of the following statements is true regarding the use of numerical integration methods?

Numerical integration methods can only approximate integrals of polynomial functions.

Numerical integration methods are always less accurate than finding the exact integral.

Numerical integration methods are useful for approximating integrals when the antiderivative of the function is difficult or impossible to find.

Numerical integration methods are unnecessary when the antiderivative of the function can be easily found.

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