54. Perform the following calculations and report each answer with the correct number of significant figures. (a) 62.8 x 34= 2.1 x 10^3 (b) 0.147 + 0.0066 + 0.012 (c) 38 x 95 x 1.792 (d) 15 - 0.15 - 0.6155 (e) 8.78 x (0.0500/0.478) (f) 140 + 7.68 + 0.014 (g) 28.7 -0.0483 (h) (88.5- 87.57)/45.13

Q: Can this be done by a person ?

A: Given f(t)=2t3Find Laplace transform of f(t) .

Q: (47) 4+4

A:

Q: Diffelen tiate 2. y = (4-5x)5

A:

Q: could you plz explain more about the b part? i didn't get it

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Q: Could you please expand on how you found the linear combinations?

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Q: b. 14-x²|dx

A: I am attaching image so that you understand each and every step.

Q: (c) Give an orthonormal basis for Span {x₁, X2, X3}.

A:

Q: Do.! (9, - 6)=(

A:

Q: (b) Give an orthogonal basis for Span {X₁, X₂, X3}.

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Q: this is incorrecta

A: The given functions,f(x)=2x+4g(x)=x-1

Q: 1. Evaluate: xydydx

A: The given integral

Q: This isnt correct

A: We need to draw the curve.

Q: b and c are all wrong. please do them correct.

A: The regression equation is: .

Q: 1) 2 J0 (1 – 9ry²) dy dr

A: For the given double integration , first we gonna solve for dy then dx.

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.