Question paper
... The random variable Y follows an F-distribution with 12 and 5 degrees of freedom. (b) Find the upper and lower 5% critical values for Y. ...
... The random variable Y follows an F-distribution with 12 and 5 degrees of freedom. (b) Find the upper and lower 5% critical values for Y. ...
Statistics 50 Exam 1 Formulas
... The mean of a Binomial Random Variable is n p and the Variance is n p (1-p) Binomial formula: P(X = k) = {n!/k!(n-k)!}pk(1-p)n-k ...
... The mean of a Binomial Random Variable is n p and the Variance is n p (1-p) Binomial formula: P(X = k) = {n!/k!(n-k)!}pk(1-p)n-k ...
Inferences for Distributions
... The main reason: The Central Limit Theorem. The t statistic is based on the sample mean x , which becomes more nearly normal as the sample size gets larger even when the population does not have a normal distribution. Always make a plot to check for skewness and outliers before you use the t procedu ...
... The main reason: The Central Limit Theorem. The t statistic is based on the sample mean x , which becomes more nearly normal as the sample size gets larger even when the population does not have a normal distribution. Always make a plot to check for skewness and outliers before you use the t procedu ...
FORMULA SHEET NUMBER ONE (consists of 2 pages)
... The sample variance is a biased estimator of the population variance. The bias is due to the probable absence of outliers in the sample. n / (n-1) corrects (removes) the bias. The text refers to this as "s2," and "sample variance." But note that this is not the variance of the sample. It is called s ...
... The sample variance is a biased estimator of the population variance. The bias is due to the probable absence of outliers in the sample. n / (n-1) corrects (removes) the bias. The text refers to this as "s2," and "sample variance." But note that this is not the variance of the sample. It is called s ...
