A T test is a statistical method used to determine if there is a significant difference between the means of two groups or between a group and a known value.
An Independent T Test compares the means of two independent groups and assumes that the two groups are unrelated.
A One-Sample T Test compares the mean of a single group against a known value or population mean.
A Paired T Test compares means from the same group at different times, useful for repeated measures or matched subjects.
T Tests help in comparing performance metrics between different groups or time periods.
Observations should be independent of each other.
A Confidence Interval provides a range of values within which the true mean difference is likely to fall.
Variances in the two groups should be equal for independent T tests.
T Tests are used to analyze experimental data to determine the effectiveness of interventions.
Data should be approximately normally distributed.
T Tests are commonly used in educational research to assess the impact of teaching methods or curricula.
A p-value less than the significance level (commonly 0.05) indicates a statistically significant difference.
