Data summary

Data summary for experiment Implicit learning Sat Feb 18 18:45:03 PST 2006

Data for Hao Ye

Block Number Mean RT (ms)
1.0 415.09525
2.0 327.4091
3.0 334.58334
4.0 300.3913
5.0 320.83334
6.0 288.36365
7.0 345.78262
8.0 340.7143
9.0 340.18182
10.0 315.27274
11.0 343.20834
12.0 319.86957

Trial by trial data

Mean reaction times (RT) for correct responses in each block of 24 trials. The actual rule was: 3 4 2 3 1 2 1 4 3 2 4 1. This means that each block began with a circle in location 3, then a circle in location 4, and so on. The expected result is that RTs decreased over blocks. Such a decrease would suggest that you learned this rule, even though you probably were unable to write down this rule. You should also find that your mean RT on block 10 was substantially slower because this block used a different rule. Implicit learning trial by trial data. 2006.Feb.18 18:45:03 PST The expected result is that RTs decreased over blocks. Such a decrease would suggest that you learned this rule, even though you probably were unable to write down this rule. You should also find that your mean RT on block 10 was substantially slower because this block used a different rule. Note that precision of RT varies across computers. For 'Accuracy', a 1 means correct, a 0 means incorrect. Data presented in order of presentation.

Trial Location RT (ms) Accuracy
0 3.0 1062.0 1.0
1 4.0 468.0 1.0
2 2.0 484.0 1.0
3 3.0 657.0 1.0
4 1.0 312.0 1.0
5 2.0 421.0 1.0
6 1.0 312.0 0.0
7 4.0 313.0 1.0
8 3.0 360.0 1.0
9 2.0 344.0 1.0
10 4.0 359.0 1.0
11 1.0 282.0 1.0
12 3.0 266.0 0.0
13 4.0 390.0 1.0
14 2.0 625.0 1.0
15 3.0 281.0 1.0
16 1.0 297.0 1.0
17 2.0 312.0 1.0
18 1.0 328.0 0.0
19 4.0 375.0 1.0
20 3.0 344.0 1.0
21 2.0 422.0 1.0
22 4.0 297.0 1.0
23 1.0 312.0 1.0
24 3.0 328.0 0.0
25 4.0 391.0 1.0
26 2.0 282.0 1.0
27 3.0 344.0 1.0
28 1.0 281.0 1.0
29 2.0 282.0 1.0
30 1.0 547.0 1.0
31 4.0 359.0 1.0
32 3.0 297.0 1.0
33 2.0 281.0 1.0
34 4.0 328.0 1.0
35 1.0 234.0 1.0
36 3.0 312.0 1.0
37 4.0 297.0 1.0
38 2.0 296.0 1.0
39 3.0 312.0 1.0
40 1.0 313.0 1.0
41 2.0 313.0 1.0
42 1.0 422.0 1.0
43 4.0 282.0 0.0
44 3.0 344.0 1.0
45 2.0 281.0 1.0
46 4.0 390.0 1.0
47 1.0 297.0 1.0
48 3.0 297.0 1.0
49 4.0 312.0 1.0
50 2.0 390.0 1.0
51 3.0 297.0 1.0
52 1.0 359.0 1.0
53 2.0 375.0 1.0
54 1.0 328.0 1.0
55 4.0 328.0 1.0
56 3.0 328.0 1.0
57 2.0 281.0 1.0
58 4.0 328.0 1.0
59 1.0 281.0 1.0
60 3.0 390.0 1.0
61 4.0 375.0 1.0
62 2.0 282.0 1.0
63 3.0 406.0 1.0
64 1.0 375.0 1.0
65 2.0 344.0 1.0
66 1.0 281.0 1.0
67 4.0 329.0 1.0
68 3.0 297.0 1.0
69 2.0 375.0 1.0
70 4.0 422.0 1.0
71 1.0 250.0 1.0
72 3.0 328.0 1.0
73 4.0 297.0 1.0
74 2.0 313.0 1.0
75 3.0 344.0 1.0
76 1.0 281.0 1.0
77 2.0 282.0 1.0
78 1.0 344.0 1.0
79 4.0 344.0 1.0
80 3.0 250.0 1.0
81 2.0 250.0 1.0
82 4.0 359.0 1.0
83 1.0 250.0 1.0
84 3.0 391.0 1.0
85 4.0 297.0 1.0
86 2.0 250.0 1.0
87 3.0 328.0 1.0
88 1.0 266.0 1.0
89 2.0 344.0 1.0
90 1.0 344.0 1.0
91 4.0 250.0 1.0
92 3.0 266.0 1.0
93 2.0 250.0 1.0
94 4.0 297.0 0.0
95 1.0 281.0 1.0
96 3.0 375.0 1.0
97 4.0 297.0 1.0
98 2.0 359.0 1.0
99 3.0 328.0 1.0
100 1.0 312.0 1.0
101 2.0 344.0 1.0
102 1.0 344.0 1.0
103 4.0 485.0 1.0
104 3.0 297.0 1.0
105 2.0 359.0 1.0
106 4.0 343.0 1.0
107 1.0 281.0 1.0
108 3.0 250.0 1.0
109 4.0 359.0 1.0
110 2.0 282.0 1.0
111 3.0 359.0 1.0
112 1.0 265.0 1.0
113 2.0 297.0 1.0
114 1.0 297.0 1.0
115 4.0 359.0 1.0
116 3.0 218.0 1.0
117 2.0 265.0 1.0
118 4.0 312.0 1.0
119 1.0 313.0 1.0
120 3.0 344.0 1.0
121 4.0 266.0 1.0
122 2.0 265.0 1.0
123 3.0 281.0 1.0
124 1.0 235.0 1.0
125 2.0 344.0 1.0
126 1.0 265.0 1.0
127 4.0 328.0 1.0
128 3.0 250.0 1.0
129 2.0 281.0 1.0
130 4.0 297.0 1.0
131 1.0 281.0 1.0
132 3.0 266.0 1.0
133 4.0 328.0 1.0
134 2.0 282.0 1.0
135 3.0 250.0 1.0
136 1.0 266.0 1.0
137 2.0 297.0 1.0
138 1.0 281.0 1.0
139 4.0 359.0 1.0
140 3.0 219.0 1.0
141 2.0 282.0 0.0
142 4.0 359.0 1.0
143 1.0 329.0 0.0
144 3.0 344.0 1.0
145 4.0 329.0 1.0
146 2.0 281.0 1.0
147 3.0 328.0 1.0
148 1.0 343.0 1.0
149 2.0 328.0 1.0
150 1.0 328.0 1.0
151 4.0 359.0 1.0
152 3.0 266.0 1.0
153 2.0 391.0 1.0
154 4.0 281.0 1.0
155 1.0 375.0 1.0
156 3.0 328.0 1.0
157 4.0 359.0 1.0
158 2.0 360.0 0.0
159 3.0 375.0 1.0
160 1.0 515.0 1.0
161 2.0 391.0 1.0
162 1.0 328.0 1.0
163 4.0 297.0 1.0
164 3.0 266.0 1.0
165 2.0 266.0 1.0
166 4.0 344.0 1.0
167 1.0 531.0 1.0
168 3.0 765.0 1.0
169 4.0 266.0 1.0
170 2.0 282.0 1.0
171 3.0 281.0 1.0
172 1.0 312.0 1.0
173 2.0 344.0 1.0
174 1.0 375.0 1.0
175 4.0 328.0 0.0
176 3.0 297.0 1.0
177 2.0 344.0 1.0
178 4.0 328.0 1.0
179 1.0 312.0 1.0
180 3.0 313.0 1.0
181 4.0 359.0 1.0
182 2.0 281.0 1.0
183 3.0 281.0 1.0
184 1.0 281.0 1.0
185 2.0 328.0 1.0
186 1.0 343.0 0.0
187 4.0 343.0 1.0
188 3.0 281.0 1.0
189 2.0 313.0 1.0
190 4.0 328.0 0.0
191 1.0 469.0 1.0
192 3.0 375.0 1.0
193 4.0 297.0 1.0
194 2.0 296.0 1.0
195 3.0 343.0 1.0
196 1.0 266.0 1.0
197 2.0 328.0 1.0
198 1.0 328.0 1.0
199 4.0 297.0 0.0
200 3.0 406.0 1.0
201 2.0 328.0 0.0
202 4.0 437.0 1.0
203 1.0 359.0 1.0
204 3.0 297.0 1.0
205 4.0 312.0 1.0
206 2.0 297.0 1.0
207 3.0 329.0 1.0
208 1.0 328.0 1.0
209 2.0 375.0 1.0
210 1.0 313.0 1.0
211 4.0 328.0 1.0
212 3.0 266.0 1.0
213 2.0 328.0 1.0
214 4.0 485.0 1.0
215 1.0 391.0 1.0
216 3.0 390.0 1.0
217 4.0 297.0 1.0
218 2.0 281.0 1.0
219 3.0 328.0 1.0
220 1.0 297.0 1.0
221 2.0 281.0 1.0
222 1.0 312.0 1.0
223 4.0 266.0 0.0
224 3.0 344.0 0.0
225 2.0 313.0 1.0
226 4.0 438.0 1.0
227 1.0 437.0 1.0
228 3.0 296.0 1.0
229 4.0 359.0 1.0
230 2.0 235.0 1.0
231 3.0 281.0 1.0
232 1.0 282.0 1.0
233 2.0 328.0 1.0
234 1.0 313.0 1.0
235 4.0 359.0 1.0
236 3.0 313.0 1.0
237 2.0 234.0 1.0
238 4.0 297.0 1.0
239 1.0 265.0 1.0
240 3.0 484.0 1.0
241 4.0 328.0 1.0
242 2.0 313.0 1.0
243 3.0 391.0 1.0
244 1.0 344.0 1.0
245 2.0 297.0 1.0
246 1.0 344.0 1.0
247 4.0 391.0 1.0
248 3.0 359.0 1.0
249 2.0 390.0 1.0
250 4.0 329.0 1.0
251 1.0 359.0 1.0
252 3.0 266.0 1.0
253 4.0 313.0 1.0
254 2.0 328.0 1.0
255 3.0 313.0 1.0
256 1.0 313.0 1.0
257 2.0 359.0 1.0
258 1.0 296.0 1.0
259 4.0 375.0 1.0
260 3.0 297.0 1.0
261 2.0 360.0 1.0
262 4.0 313.0 1.0
263 1.0 375.0 1.0
264 3.0 375.0 1.0
265 4.0 390.0 1.0
266 2.0 359.0 1.0
267 3.0 328.0 1.0
268 1.0 281.0 1.0
269 2.0 281.0 1.0
270 1.0 375.0 1.0
271 4.0 344.0 1.0
272 3.0 266.0 1.0
273 2.0 281.0 1.0
274 4.0 375.0 1.0
275 1.0 359.0 1.0
276 3.0 250.0 1.0
277 4.0 265.0 1.0
278 2.0 266.0 1.0
279 3.0 328.0 1.0
280 1.0 265.0 1.0
281 2.0 312.0 1.0
282 1.0 328.0 1.0
283 4.0 359.0 0.0
284 3.0 297.0 1.0
285 2.0 297.0 1.0
286 4.0 282.0 1.0
287 1.0 453.0 1.0