Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
12 Cards in this Set
- Front
- Back
|
Two Sample T-Test |
T-distribution is used to model the sampling distribution of the difference between means when: * σ is unknown for one or both populations * the population distributions are reasonably normal |
|
|
Critical Value |
To calculate: * Calculate degrees of freedom: df = n1+ n2 - 2 * Use df and alpha to locate the critical value on a t-table. |
|
|
Paired Sample |
A data-set of two values from the same population or from two populations that are inherently related, aka dependent populations. |
|
|
Paired Sample Tests |
Similar to two-sample tests, but they analyze the mean of a set of differences. |
|
|
Paired sample t-tests |
Usually performed, assuming the standard deviation is unknown. n is the total differences measured (not total data points) and df = n-1. |
|
|
Two-Sample z-test |
Performed if samples are random and large (n*p>15 and n*(1-p)>15). The standard normal distribution models the sampling distribution of the difference between proportions. |
|
|
Analysis of variance (ANOVA) |
Helps to see if there's a difference in means across three or more populations. |
|
|
Group Mean |
The mean of the data points in a single group. |
|
|
Grand Mean |
The mean of every data point overall. |
|
|
SST (Total Sum of Squares) |
The data's overall variance from the grand mean. |
|
|
SSW (Sum of Squares Within) |
The variance within a group (between its data points and its group mean) |
|
|
SSB (Sum of Squares Between) |
The variance between all group means and the grand mean. More prominent than SSW because it's probability doesn't rely on random chance. |
