It appears that you might be referring to a situation in which Welch's t-test can be applied. Since it would be excruciating to write the required formulae here on answers.com let me refer you to the wikipedia page.
A t-test typically measures two variables: one categorical independent variable with two levels (groups) and one continuous dependent variable. It assesses whether there is a statistically significant difference in the means of the continuous variable between the two groups.
Its a statistic, they guess. A good guess, but they still do.
Dependent variable is the variable that can be measured. However, the independent variable is the variable that changes in the two groups.
The Independent Samples T Test compares the mean scores of two groups on a given variable.
The term you're looking for is "categorical independent variable." This type of independent variable consists of distinct categories or groups that allow researchers to compare differences among them, such as treatment groups in an experiment or demographic categories in a survey. By analyzing these differences, researchers can assess how variations in the independent variable affect the dependent variable.
The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups. twas on wikipedia so not so reliable
No. They are independent and do not live in groups.
The ANOVA test means ANalysis of Varience and it is used to test for difference among group means. ---- That is the amount of variability between the means of the groups compared to the amount of variability among the individual scores of each group. Varience between groups versus varience within groups. Hope this helps...Natalie
for most of their life they are independent
No, they stick together in groups
Andrzej Pelc has written: 'Invariant measures and ideals on discrete groups' -- subject(s): Discrete groups, Ideals (Algebra), Invariant measures
A t-test typically measures two variables: one categorical independent variable with two levels (groups) and one continuous dependent variable. It assesses whether there is a statistically significant difference in the means of the continuous variable between the two groups.
They live in pods or groups and actually have a family structure.
Its a statistic, they guess. A good guess, but they still do.
Independent variable
Dependent and independent variable
No, the F statistic cannot be negative. The F statistic is derived from the ratio of variances, specifically the variance between groups divided by the variance within groups. Since variances are always positive or zero, the resulting F statistic will also be zero or positive.