IB DP Maths: AI SL复习笔记4.7.3 Goodness of Fit Test
Chi-Squared GOF: Uniform What is a chi-squared goodness of fit test for a given distribution? What are the steps for a chi-squared goodness of fit test for a given distribution? Worked Example Chi-...
Chi-Squared GOF: Uniform What is a chi-squared goodness of fit test for a given distribution? What are the steps for a chi-squared goodness of fit test for a given distribution? Worked Example Chi-...
Chi-Squared Test for Independence What is a chi-squared test for independence? You will use a contingency table This is a two-way table that shows the observed frequencies for the different combina...
Language of Hypothesis Testing What is a hypothesis test? A hypothesis test uses a sample of data in an experiment to test a statement made about the population The statement is either about a popu...
Calculating Normal Probabilities How do I find probabilities using a normal distribution? You will be expected to use distribution functions on your GDC to find the probabilities when working with ...
Properties of Normal Distribution The binomial distribution is an example of a discrete probability distribution. The normal distribution is an example of a continuous probability distribution. Wha...
Calculating Binomial Probabilities How do I calculate P(X = x): the probability of a single value for a binomial distribution? You should have a GDC that can calculate binomial probabilities You wa...
Properties of Binomial Distribution What is a binomial distribution? A binomial distribution is a discrete probability distribution What are the important properties of a binomial distribution? Th...
Expected Values E(X) What does E(X) mean and how do I calculate E(X)? E(X) means the expected value or the mean of a random variable X The expected value does not need to be an obtainable value of ...
Discrete Probability Distributions What is a discrete random variable? A random variable is a variable whose value depends on the outcome of a random event The value of the random variable is not ...
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