use a t-test to conduct the analysis. My data is divided into the following categories: gender (1 = female, 2 = Male), age, amount of time spent READING the words, and amount of time spent SAYING the colors.

My research project idea is to explore whether or not one's age and gender affects the Stroop Effect

there are two sample data. 1 = female 2= male

he first set of date is from row 2 to row 82; column a to e.. for the second set of data is from row 83 to row 150; column a to column e

Gender	Age	Read Word (time in seconds)	Say Color (time in seconds)	The Stroop Effect - the difference between Say Color and Read Word (seconds)
1	18	75.1	80.9	5.8
1	18	73.8	76.9	3.1
1	18	74.1	77.3	3.2
1	18	76	79.1	3.1
1	18	79.1	81.2	2.1
1	19	73.6	76.8	3.2
1	19	74.8	78.6	3.8
1	19	79.6	81.6	2
1	20	76.6	79.1	2.5
1	20	77.1	79.9	2.8
1	20	80.2	82	1.8
1	21	73.5	76.7	3.2
1	21	77.5	80.7	3.2
1	22	74.8	78.6	3.8
1	22	75.1	78.9	3.8
1	22	75.3	79	3.7
1	22	76.5	79.1	2.6
1	22	77.8	80.8	3
1	22	78.5	81.1	2.6
1	22	79.6	81.9	2.3
1	22	80	82	2
1	22	80.3	82.1	1.8
1	22	80.4	82.3	1.9
1	23	74.1	77.4	3.3
1	23	74.1	77.6	3.5
1	23	74.5	78.2	3.7
1	23	74.6	78.5	3.9
1	23	76.6	79.1	2.5
1	23	79.9	81.9	2
1	23	80	82	2
1	24	74.3	78.1	3.8
1	24	75	78.7	3.7
1	24	79.3	81.3	2
1	25	76.8	79.4	2.6
1	25	77	79.6	2.6
1	25	77.3	80.6	3.3
1	25	78.2	81	2.8
1	25	78.4	81.1	2.7
1	60	82.3	85.3	3
1	60	78.3	84.4	6.1
1	60	83.7	85.5	1.8
1	60	80.1	86.7	6.6
1	61	80.9	86	5.1
1	61	81	84.6	3.6
1	61	82.2	84.2	2
1	61	81.4	85.2	3.8
1	61	81.5	86.5	5
1	61	82.8	86.1	3.3
1	62	84	84.3	0.3
1	63	82.1	85.3	3.2
1	63	78.5	87.9	9.4
1	63	78	83.8	5.8
1	63	81.7	87.6	5.9
1	65	82.9	83.2	0.3
1	65	81.1	88.5	7.4
1	65	79.3	87.1	7.8
1	65	80.9	85	4.1
1	66	80.2	87	6.8
1	66	81.1	86.9	5.8
1	66	80.9	88.4	7.5
1	66	82.1	87	4.9
1	67	79.1	83.9	4.8
1	68	82.7	87.5	4.8
1	68	84.2	86.9	2.7
1	69	84	86.6	2.6
1	69	78.5	85	6.5
1	69	78.5	84.2	5.7
1	70	78.9	86.4	7.5
1	70	78.4	85.4	7
1	70	78.3	85.2	6.9
1	70	83.6	85.2	1.6
1	71	81.5	84.2	2.7
1	71	81.6	88.8	7.2
1	72	83.8	86.1	2.3
1	72	83.5	83.6	0.1
1	72	80	84.2	4.2
1	72	81	87.3	6.3
1	73	84	86.5	2.5
1	74	80.4	88.8	8.4
1	75	83.4	83.8	0.4
1	75	78.8	86	7.2
2	18	74.7	75	0.3
2	18	74.7	79.9	5.2
2	19	70.1	74	3.9
2	19	70.2	74	3.8
2	19	70.6	74.3	3.7
2	19	70.7	74.5	3.8
2	19	72	74.9	2.9
2	19	72.6	75.3	2.7
2	19	73.3	76.3	3
2	19	73.7	77.3	3.6
2	19	73.9	77.4	3.5
2	19	74.4	79.2	4.8
2	20	70.8	74.8	4
2	20	71	74.8	3.8
2	20	72.4	75	2.6
2	21	70	73.8	3.8
2	21	71.1	74.9	3.8
2	21	74	77.7	3.7
2	22	72.2	75	2.8
2	22	73.3	76.4	3.1
2	22	73.4	77	3.6
2	22	74.1	78.6	4.5
2	22	74.6	79.8	5.2
2	23	69.6	73.6	4
2	23	72.4	75.1	2.7
2	23	72.7	75.6	2.9
2	23	73.2	76	2.8
2	24	70.5	74.2	3.7
2	24	72.7	75.7	3
2	24	72.8	75.9	3.1
2	24	73.1	76	2.9
2	24	73.6	77	3.4
2	24	74.1	78.9	4.8
2	25	69.7	73.8	4.1
2	25	70	73.9	3.9
2	25	71.6	74.9	3.3
2	25	74	78	4
2	60	74.3	77.4	3.1
2	60	73.2	80.6	7.4
2	60	74.5	82.5	8
2	60	75	83.5	8.5
2	62	73.9	82.3	8.4
2	62	75.2	83.5	8.3
2	62	75.5	83.8	8.3
2	63	71.9	78	6.1
2	63	73.2	80.7	7.5
2	63	74.9	82.8	7.9
2	64	71.8	78	6.2
2	64	72.8	80.1	7.3
2	64	73.5	81.8	8.3
2	64	75.3	83.5	8.2
2	65	72.5	79.1	6.6
2	65	74.1	82.5	8.4
2	66	71.1	77.1	6
2	67	70.6	76.3	5.7
2	67	73.2	80.8	7.6
2	68	75.5	83.9	8.4
2	69	72.4	78.8	6.4
2	69	75.9	81	5.1
2	71	72.3	78.4	6.1
2	71	72.9	80.3	7.4
2	71	75.3	83.6	8.3
2	72	74	82.4	8.4
2	73	72.4	78.9	6.5
2	73	72.7	80	7.3
2	74	71.1	77.8	6.7
2	74	72.2	78.4	6.2
2	74	75.3	83.7	8.4
2	75	73.4	81.1	7.7
Averages	44.12	76.26866667	80.762	4.493333333