Consider the continuous signal x(t)=5cos(2Trt). If the sampling frequency is 100 Hz, then the sampled signal x[3] is

Q: Let S = {-1,0, 2, 4, 7}. Find ƒ (S) if a) f(x) = 1. b) f(x) = 2x +1. %3D c) f(x)= [x/5]. d)…

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Q: Let f(x)=6√x−8x for x>0. Find the critical numbers

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Q: Consider the function given by f (x) = x². Determine the coefficient a of the linear interpolating…

A: We have, xTo find the coefficient a of the linear interpolation function .

Q: To start the simplex method, we need to first transform this LP into a standard form by adding slack…

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Q: Differentiate the function. y = In(16 + t – P) %3D y' = 1– 3r² 372 6 +t-t -- 6 + t- r 2 6+t-t

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Q: For any frequency distribution show that (i) Kurtosis greater than unity and (ii) Co-efficient of…

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Q: SRS of 42 students are polled and asked if their average speed exceeded the speed limit on 19th…

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Q: A point Y is chosen randomly from the interval (0, 1). Another point X is then chosen randomly from…

A: P(X≤a|Y=y) = ∫0min{a,y}1ydx = min{a,y}y=aya<y1a≥y  answer

Q: 4 f(x) = 4 – x + ,3 x* 3

A: Critical values are attained at the points where f'(x) = 0, i.e., the derivative has the value 0.

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.