<Tr> <Td> </Td> <Td> Mitchell </Td> <Td> 78% </Td> <Td> 91% </Td> </Tr> <Dl> <Dd> <Table> Example of matched pairs <Tr> <Th> Pair </Th> <Th> Name </Th> <Th> Age </Th> <Th> Test </Th> </Tr> <Tr> <Td> </Td> <Td> </Td> <Td> 35 </Td> <Td> 250 </Td> </Tr> <Tr> <Td> </Td> <Td> Jane </Td> <Td> 36 </Td> <Td> 340 </Td> </Tr> <Tr> <Td> </Td> <Td> Jimmy </Td> <Td> 22 </Td> <Td> 460 </Td> </Tr> <Tr> <Td> </Td> <Td> Jessy </Td> <Td> 21 </Td> <Td> 200 </Td> </Tr> </Table> </Dd> </Dl> <Dd> <Table> Example of matched pairs <Tr> <Th> Pair </Th> <Th> Name </Th> <Th> Age </Th> <Th> Test </Th> </Tr> <Tr> <Td> </Td> <Td> </Td> <Td> 35 </Td> <Td> 250 </Td> </Tr> <Tr> <Td> </Td> <Td> Jane </Td> <Td> 36 </Td> <Td> 340 </Td> </Tr> <Tr> <Td> </Td> <Td> Jimmy </Td> <Td> 22 </Td> <Td> 460 </Td> </Tr> <Tr> <Td> </Td> <Td> Jessy </Td> <Td> 21 </Td> <Td> 200 </Td> </Tr> </Table> </Dd> <Table> Example of matched pairs <Tr> <Th> Pair </Th> <Th> Name </Th> <Th> Age </Th> <Th> Test </Th> </Tr> <Tr> <Td> </Td> <Td> </Td> <Td> 35 </Td> <Td> 250 </Td> </Tr> <Tr> <Td> </Td> <Td> Jane </Td> <Td> 36 </Td> <Td> 340 </Td> </Tr> <Tr> <Td> </Td> <Td> Jimmy </Td> <Td> 22 </Td> <Td> 460 </Td> </Tr> <Tr> <Td> </Td> <Td> Jessy </Td> <Td> 21 </Td> <Td> 200 </Td> </Tr> </Table>

T-test uses t statistics whereas anova uses f ratio