Parametric stats
... Which are the independent variables in this design? Which are the dependent variables? On what scale? How many conditions? Within subject or between subject? ...
... Which are the independent variables in this design? Which are the dependent variables? On what scale? How many conditions? Within subject or between subject? ...
Tutorial 1 - City University of Hong Kong
... Let M and N be two independent Poisson random variables of means and , respectively, and R = M + N (a) Prove that P(R = 0) = e-( + ) and P(R = 1) = ( + ) e-( + ) (b) Show that R follows a Poisson distribution with mean ( + ) (b) What is the conditional distribution for M given th ...
... Let M and N be two independent Poisson random variables of means and , respectively, and R = M + N (a) Prove that P(R = 0) = e-( + ) and P(R = 1) = ( + ) e-( + ) (b) Show that R follows a Poisson distribution with mean ( + ) (b) What is the conditional distribution for M given th ...
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 ...
Stat 1761 - Ohio Northern University
... know what an unbiased estimate is know what a consistent estimator is interval estimation of µ know what a confidence level represents find critical value z1-/2 find confidence interval estimates of µ when σ known when sampling from normal population when sampling from non-normal population but wit ...
... know what an unbiased estimate is know what a consistent estimator is interval estimation of µ know what a confidence level represents find critical value z1-/2 find confidence interval estimates of µ when σ known when sampling from normal population when sampling from non-normal population but wit ...
How to calculate variance and standard deviation
... How to calculate variance and standard deviation? 1 Definition: To illustrate the variability of a group of scores, in statistics, we use "variance" or "standard deviation". We define the deviation of a single score as its distance from the mean: Variance is symbolized by 2. Standard Deviation is ...
... How to calculate variance and standard deviation? 1 Definition: To illustrate the variability of a group of scores, in statistics, we use "variance" or "standard deviation". We define the deviation of a single score as its distance from the mean: Variance is symbolized by 2. Standard Deviation is ...
A Performance Assessment
... (4) I am 95% confident that the true mean number of ounces in a bottle for a particular day is between 16.061 and 16.139 oz ...
... (4) I am 95% confident that the true mean number of ounces in a bottle for a particular day is between 16.061 and 16.139 oz ...