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ECE2191 - Probability and AI for engineers - S2 2026

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For a multivariate linear regression problem with multivariate output , the loss function is minimised with respect to the weight matrix by setting the partial derivative . Which of the following terms is used to denote the partial derivative matrix, in such a scenario?

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For a multivariate linear regression problem, the loss function is minimized with respect to the weight vector by setting the partial derivative . Which of the following correctly shows the expansion of the partial derivative, ?

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In the closed form solution to multivariate linear regression, why do we use the pseudo-inverse of instead of the simple inverse?

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An engineer has IID Gaussian observations where both and are unknown. The engineer makes the following argument:

"The standardised sample mean is standard normal. Therefore, I can replace the unknown by the sample standard deviation and obtain the exact confidence interval Afterall, since the chi-squared confidence interval for is exact for a Gaussian population, this substitution must also be exact."

Which assessment is correct?

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A manufacturer tests components for failure during a short reliability test. For component , define where . Assume that are IID. An engineer tests components and argues that the sampling distribution of should be approximately Gaussian because . Which assessment is most accurate?
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Two measurement errors and satisfy . Which conclusion is always valid?
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The measurement errors from two sensing channels are modelled by the jointly Gaussian random vector

where the first argument of is the mean vector , and the second argument of is the covariance matrix . Using the formula for the joint Gaussian PDF from Slide 8 of this week's video, calculate the joint density at Give your answer as a decimal to at least three decimal places.
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A two-axis accelerometer produces measurement errors and , which are collected into the vector Its covariance matrix is What does either off-diagonal entry, 0.015, in the covariance matrix represent?
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A calibration experiment estimates a mean sensor bias using the confidence interval where the confidence level is fixed and the population standard deviation is known. The experiment currently has margin of error . The engineer now requires a margin of error at most . Ignoring integer rounding, what minimum multiplicative change in sample size is required?
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This question requires you to write your response on an answer sheet provided by the teaching team. Write your student ID on your answer sheet.

A power-electronics cooling fan is assumed to have an exponentially distributed operating lifetime

, measured in hours, with PDF

The manufacturer's stated mean operating lifetime is 2000 h.

(a) Determine the rate parameter , including its units.

(b) Determine the variance and standard deviation of .

(c) An engineer claims that because the mean lifetime is 2000 h, most fans should fail close to 2000 h. Briefly explain why the exponential model does not support this interpretation.

Show all relevant working. (Note: You do

not need to derive and/or from first principles if you know the corresponding formulae for an exponential random variable.)

Hand your answer sheet to the teaching team at the end of the mid-semester test.

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