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- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/17%3A_Chi_Square/17.02%3A_One-Way_TablesThe Chi Square distribution can be used to test whether observed data differ significantly from theoretical expectations.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Foundations_in_Statistical_Reasoning_(Kaslik)/08%3A_Chi_SquareIn chapter 5, the inferential theory for categorical data was developed based upon the binomial distribution. Recall that the binomial distribution shows the probability of the possible number of succ...In chapter 5, the inferential theory for categorical data was developed based upon the binomial distribution. Recall that the binomial distribution shows the probability of the possible number of successes in a sample of size n when there were only two possible independent outcomes, success and failure. What happens if there are more than two possible outcomes however?
- https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/08%3A_EstimationIn hypothesis tests, the purpose was to make a decision about a parameter, in terms of it being greater than, less than, or not equal to a value. But what if you want to actually know what the paramet...In hypothesis tests, the purpose was to make a decision about a parameter, in terms of it being greater than, less than, or not equal to a value. But what if you want to actually know what the parameter is. You need to do estimation. There are two types of estimation – point estimator and confidence interval.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_with_Technology_2e_(Kozak)/08%3A_EstimationIn hypothesis tests, the purpose was to make a decision about a parameter, in terms of it being greater than, less than, or not equal to a value. But what if you want to actually know what the paramet...In hypothesis tests, the purpose was to make a decision about a parameter, in terms of it being greater than, less than, or not equal to a value. But what if you want to actually know what the parameter is. You need to do estimation. There are two types of estimation – point estimator and confidence interval.
