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Approximating Definite Integrals - Integration Techniques
In this section we have spent quite a bit of time on computing the values of integrals. Though, not all integrals can be calculated. A perfect instance is the subsequent definite integral.
Here we now need to talk a little bit about estimating values of definite integrals. We will seem at three different methods, even though one should already be well- known to you from your Calculus I days. We will build up all three methods for estimating
∫ba f (x) dx
by thinking of the integral like an area problem and by using known shapes to calculate the area within the curve. Let us get first develop the methods and then we will try to calculate the integral illustrated above.
Probability Distributions Since the value of a random variable cannot be predicted accurately, by convention, probabilities are assigned to all the likely values that the varia
Here we learn: 1) Discussed what counting means, and stressed that it is not the ability to recite number names. 2) Talked about the need for a child to understand several pr
10 puzzles
rouding each number to the nearest half
Given two functions f(x) and g(x) which are differentiable on some interval I (1) If W (f,g) (x 0 ) ≠ 0 for some x 0 in I, so f(x) and g(x) are linearly independent on the int
Find the standard form of the equation of the parabola with a vertex at the origin and a focus at (0, -7).
Finding Absolute Extrema : Now it's time to see our first major application of derivatives. Specified a continuous function, f(x), on an interval [a,b] we desire to find out the
Find the discount factors -Linear interpolation: All rates should be calculated to 3 decimal places in % (e.g. 1.234%), the discount factors to 5 decimal places (e.g. 0.98765
IN THIS WE HAVE TO ADD THE PROBABILITY of 3 and 5 occuring separtely and subtract prob. of 3 and 5 occuring together therefore p=(166+100-33)/500=233/500=0.466
Proves of power sets,union ,interstection ,relwtion
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