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MLF week 12 - real exam questions

6 questions pulled from past papers whose wording matches this week's topics, newest first, duplicates removed. Pick your answers, then press Check answers. Figures and answer keys are the originals.

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MLF End Term · 13 Sep 2026 · open the full paper
Practice 1MCQ3 marks
Let be a discrete random variable such that with where is an unknown parameter. Consider the random sample from . The maximum likelihood estimate of is:
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MLF End Term · 10 May 2026 · open the full paper
Practice 2SA3 marks
The dataset is sampled from a distribution whose PDF is given below with parameter : question figure Assume that each point in the dataset is sampled independently from this distribution. Find the maximum likelihood estimate for . Your answer should be an integer.
MLF End Term · 10 May 2026 · open the full paper
Practice 3SA3 marks
Let be a discrete random variable such that and where is an unknown constant. Consider a random sample . Find the maximum likelihood estimate of for the given sample. Enter the answer correct to one decimal place.
MLF End Term · 21 Dec 2025 · open the full paper
Practice 4SA3 marks
The time (in minutes) a bank employee spends assisting a customer follows an exponential distribution with parameter . The time spent (in minutes) from a random sample of 5 customers are as follows: Find the maximum likelihood estimate of for the given sample. Enter the answer correct to two decimal places.
MLF End Term · 28 Apr 2024 · open the full paper
Practice 5SA3 marks
In a large town, it is estimated that 20% of students own a laptop. A random sample of 400 students is selected from the town. What is the variance of the number of students with the laptops in a given sample?
MLF End Term · 28 Apr 2024 · open the full paper
Practice 6SA3 marks
A quality control manager at a factory measures the thickness of glass sheets produced. Five randomly selected sheets have the thicknesses(in mm) 10, 8, 11, 9, 12 respectively. Assuming the thickness follows a normal distribution and the variance is known, what is the maximum likelihood estimator (MLE) of the mean thickness, (μ), in mm of the glass sheets?