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Probability
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Why?
Randomness
What is the purpose of random selection?
To select items from a population where the probability of choosing a specific item is not proportional to those items in the population
To select items from a population where the probability of choosing a specific item is proportional to those items in the population
To select items from a population where the probability of choosing a specific item is random
To select items from a population where the probability of choosing a specific item is predetermined
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Why?
Randomness
What is the difference between randomness and haphazardness?
Randomness is a measure of uncertainty of an outcome, while haphazardness refers to something that is done without care or planning
Randomness and haphazardness are the same thing
Randomness refers to something that is done without care or planning, while haphazardness is a measure of uncertainty of an outcome
Randomness and haphazardness are both measures of uncertainty of an outcome
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Why?
Randomness
What is the definition of randomness?
The presence of pattern or predictability in information
The absence of pattern or predictability in information
The presence of order in information
The presence of predictability in information
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Why?
De Moivre–Laplace theorem
What is the relationship between the binomial distribution and the central limit theorem?
The binomial distribution is a special case of the Poisson distribution
The binomial distribution is a special case of the normal distribution
The binomial distribution is a special case of the central limit theorem
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Why?
De Moivre–Laplace theorem
What is the probability mass function of the de Moivre-Laplace theorem?
The probability mass function of the normal distribution with mean np and standard deviation sqrt(np(1-p))
The probability mass function of the binomial distribution with mean np and standard deviation sqrt(np(1-p))
The probability mass function of the Poisson distribution with mean np and standard deviation sqrt(np(1-p))
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Why?
De Moivre–Laplace theorem
What is the de Moivre-Laplace theorem?
A theorem that states that the normal distribution is always a better approximation to the binomial distribution
A theorem that states that the binomial distribution is always a better approximation to the normal distribution
A theorem that states that the normal distribution may be used as an approximation to the binomial distribution under certain conditions
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