Experiment Date2020-10-12 Experiment ID Notebook ID Project Experimenter Protocol Experiment Date2020-10-12 Experiment ID Notebook ID Project Experimenter Protocol Stiatum Cortex (II-IV) Cortex (V) 9335 11745 13696 13329 11516 15272 12987 17083 12052 13525 12545 13802 13622 9957 11568 10272 13114 13415 9925 10844 12717 12995 11731 14968 11064 10341 13700 vgat Stiatum vglut Cortex (II-IV) NeuN Cortex (V) 76284 210340 132762 108587 202683 131872 85248 227418 113893 93305 213123 127454 95746 185204 110128 80052 169495,3 106344 97125 209424,1 120000 109533 168713,7 119021 95570 242926,2 118455 89917 111746 vgat - Striatum vglut - Cortex (II-IV) NeuN - Cortex (V) 25 55,8 42 25 51,4 50 23 43,8 30 37 61,6 35,8 37 52,9 42 26 52,6 28,6 33 59,1 34,5 27 60,7 48,1 27 54,5 35,7 28 57,1 50 Step-by-step instructions for performing a paired t test How the data are organized
The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents a different subject.

The goals
- To determine if the differences between the two group means
is greater than you would expect to see by chance.
- To determine the 95% confidence interval for the difference
between the two means.

How to perform the paired t test
Click Analyze, choose t test from the list of column analyses, and then choose a paired t test on the dialog. Click the link below for detailed instructions and to learn about the paired t test. GS JM HM JW PS 9335 13329 12987 13525 13622 10272 9925 12995 11064 8836 11745 11516 17083 12545 9957 13114 10844 11731 10341 11507 13696 15272 12052 13802 11568 13415 12717 14968 13700 14205 Step-by-step instructions for performing a paired t test How the data are organized
The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents a different subject.

The goals
- To determine if the differences between the two group means
is greater than you would expect to see by chance.
- To determine the 95% confidence interval for the difference
between the two means.

How to perform the paired t test
Click Analyze, choose t test from the list of column analyses, and then choose a paired t test on the dialog. Click the link below for detailed instructions and to learn about the paired t test. GS JM HM JW PS 76284 108587 85248 93305 95746 80052 97125 89917 109533 94157 210340 202683 227418 213123 185204 169495,3 209424,1 168713,7 242926,2 197640 132762 131872 113893 127454 110128 106344 120000 119021 118455 110949 Step-by-step instructions for performing a paired t test How the data are organized
The two columns represent two sequential treatments. Each row represents a different subject (or a different set of matched data), labeled with a row title. Note that, unlike many statistics programs, groups and subjects are not defined by grouping variables. Instead, each column defines a separate group, and each row represents a different subject.

The goals
- To determine if the differences between the two group means
is greater than you would expect to see by chance.
- To determine the 95% confidence interval for the difference
between the two means.

How to perform the paired t test
Click Analyze, choose t test from the list of column analyses, and then choose a paired t test on the dialog. Click the link below for detailed instructions and to learn about the paired t test. GS JM HM JW PS 25 25 23 37 37 26 33 27 27 28 55,8 51,4 43,8 61,6 52,9 52,6 59,1 60,7 54,5 57,1 42 50 30 35,8 42 28,6 34,5 48,1 35,7 50