1,243 prompts matching "Practice: A fractional index with numerator one, read as a root"
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WAEC Prep: A Poisson distribution taken over a different length of interval
Act as my WAEC Further Mathematics coach. I am in SS 3. Take me through a Poisson distribu
WAEC Prep: The Poisson formula, and what lambda stands for
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Worked Example: The probability of no events at all in a Poisson distribution
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WAEC Prep: The expected number of successes in a practical problem
Act as my WAEC Further Mathematics coach. I am in SS 3. Take me through the expected numbe
Explain Back: Finding n and p from a given mean and variance
I have just studied finding n and p from a given mean and variance in my SS3 Further Mathe
WAEC Prep: The variance of a Poisson distribution over two intervals
Act as my WAEC Further Mathematics coach. I am in SS 3. Take me through the variance of a
WAEC Prep: Using the mean of a Poisson distribution to find a probability
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WAEC Prep: Why the mean and the variance of a Poisson distribution are equal
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Explain Back: Testing whether data are Poisson by comparing mean and variance
I have just studied testing whether data are Poisson by comparing mean and variance in my
WAEC Prep: The points of inflexion of the normal curve
Act as my WAEC Further Mathematics coach. I am in SS 3. Take me through the points of infl
WAEC Prep: The shape and the symmetry of the normal curve
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WAEC Prep: Comparing two values from different normal distributions by z-score
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WAEC Prep: The z-score of a value that lies below the mean
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Explain Back: Converting a value to a z-score
I have just studied converting a value to a z-score in my SS3 Further Mathematics class. L
Worked Example: Finding a value from a given probability by working backwards
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WAEC Prep: Finding the mean or the standard deviation from a given probability
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WAEC Prep: The probability that a normal variable lies below a given value
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WAEC Prep: A question whose wording hides which distribution is meant
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WAEC Prep: Choosing between a binomial and a Poisson model
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Worked Example: The continuity correction when approximating a discrete distribution
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