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MATH 1280-01 Introduction to Statistics - AY2025-T5

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A continuous probability distribution has a probability density function (PDF) where the total area under the curve is ______.
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The variance of a uniform distribution between 2 and 10 is calculated as:
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For a continuous random variable, what is the probability that it takes an exact value (e.g., X = a)?
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In a Poisson distribution, the mean and variance are both equal to 1.
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For a Poisson distribution, how does the shape of the distribution change as the rate parameter λ increases?
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The mean of a geometric distribution is given by μ=1/p. If p=0.25, what is the mean?
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What is the probability of having more than 5 events (X > 5) in a Poisson distribution with λ = 4?
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The Poisson distribution can be used to model which of the following situations?
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The Poisson distribution is characterized by ____________.
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The expected value (mean) of a Geometric distribution with parameter p is ____________.
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