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Writing Lab Reports will help you in many future career situations. DR. “K”. Interest Education Knowledge Language gender. Idiom, expressions, slang, use of ambigous language. Be clear and concrete… Use proper grammar and avoid misspellings Avoid ambiguity “Easy as pie” - PowerPoint PPT Presentation
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Writing Lab Reports will help you in many future career situations
DR. “K”
• Interest
• Education
• Knowledge
• Language
• gender
Idiom, expressions, slang, use of ambigous language
• Be clear and concrete…
• Use proper grammar and avoid misspellings
• Avoid ambiguity– “Easy as pie”– Words with multiple definitions– Slang…etc
Don’t forget Title and Abstract too!
Title cont’
• Nature of study-variables studied and approach
• Subjects?
• Results?
• Fancy titles?
Abstract-Very important
Introduction
Introduction
Introduction-The inverted pyramid approach
• Introduce General topic issues
• Tie them together
• Problem formation
• Specific goal or hypothesis to be tested
• Reference all ideas presented…more later
Methods
Methods- Subject subsection
• -How were subjects recruited/nature of study
• Number of subjects/ breakdown by major subject characteristics of interest
• Describe other possible commonalities in sample…eg..age, etc
Methods-materials subsection
Methods- Procedure subsection
• Describe for Dr. K, step by step details of how study was conducted. Start from subject recruitment, end at data collection.
Results
Results
RESULTS
RESULTS
0
5
10
15
20
25
30
cued non-cued
Control Caffeine
ME
AN
MR
T S
CO
RE
S
RESULTS
RESULTS
• Figure 2: The figure above shows a trend (p < 0.06) for subjects in cued (coffee) and caffeine conditions to perform better than the subjects who received caffeine in the non-cued (capsule) form on the MRT of visuo-spatial ability. The histograms reflect mean scores for each condition with SEM error bars.
0
5
10
15
20
25
30
cued non-cued
Control Caffeine
ME
AN
MR
T S
CO
RE
S
RESULTS
SN Caff. Score Body Weight Smoker
Age SAT score Gender
Dose
1 10 143 1 18 1190 Female 2
2 6 137 2 18 1200 Female 2
3 9 125 2 20 990 Female 3
4 8 139 0 20 1050 Female 1
5 7 0 21 1140 Male 0
6 5 136 0 22 Female 2
7 6 120 4 20 1090 Female 3
8 10 159 4 21 1220 Female 1
9 6 180 0 24 Male 1
10 6 0 21 1170 Female 2
11 7 160 0 20 1080 Female 2
12 9 173 0 18 1060 Female 0
13 6 156 0 19 1080 Female 3
14 7 152 0 18 24ACT Male 3
15 9 170 0 18 1110 Male 2
16 9 183 0 19 1210 Male 0
17 11 169 3 21 Male 2
17a 5 0 18 1000 Male 1
18 6 216 0 18 1000 Male 1
19 9 196 0 18 1290 Male 2
20 10 176 0 18 1100 Female 1
21 6 106 0 18 1000 Female 3
22 8 146 0 22 Female 0
23 9 158 0 19 980 Male 0
24 11 180 4 19 1050 Male 0
25 5 175 2 19 1200 Male 3
26 9 149 0 18 1100 Male 3
27 6 146 4 18 1350 Male 3
28 5 176 0 18 1060 Male 1
29 5 118 0 18 1410 Female 2
30 8 159 0 18 1270 Female 3
31 6 129 0 18 1100 Female 1
32 7 134 0 20 1110 Male 0
33 8 143 0 19 1000 Male 3
34 8 181 0 19 1070 Male 2
35 5 166 3 19 1080 Male 2
36 10 179 4 19 1020 Male 1
37 8 174 0 19 1160 Female 1
38 5 136 4 19 1170 Male 1
39 5
40 4 115 0 18 1160 Female 0
42 9 138 0 19 1110 Female 0
44 7 132 3 18 1030 Female 0
47 6 125 3 19 1100 Female 0
48 9 152 4 23 1290 Male 3
49 6 214 4 21 1210 Female 3
SN Caff. Score Body Weight Smoker Age SAT score Gender Dose
50 5 127 0 20 980 Female 1
51 9 111 0 21 1270 Female 2
52 8 163 3 21 1010 Male 1
53 6 131 4 24 Male 2
54 9 109 0 20 1050 Female 0
55 6 123 0 20 1090 Female 2
56 10 156 0 18 1240 Male 2
57 9 175 0 18 1100 Male 1
58 6 148 0 20 1200 Male 0
59 7 133 0 19 1060 Male 2
60 5 178 0 18 1140 Male 0
61a 5 187 0 18 1090 Male 1
61 11 187 0 47 1180 Male 1
62 6 200 0 19 1300 Male 0
63 5 179 0 19 1210 Male 0
64 7 118 0 24 1100 Female 1
65 9 110 0 19 1040 Female 0
66 7 146 3 18 1090 Male 2
67 8 133 0 20 1060 Female 1
68 9 142 0 28 1500 Female 2
69 8 131 3 20 1000 Male 2
70 8 131 4 22 850 Female 2
71 6 107 0 19 1000 Female 1
72 9 162 0 19 990 Male 1
73 8 136 0 19 990 Female 1
74 5 212 4 19 1100 Male 0
75 6 108 0 18 1170 Femlae 0
76 10 144 4 32 Female 2
77 6 251 0 31 Male 0
78 7 116 0 20 1180 Female 0
79 9 150 0 20 970 Female C(0)
80 8 130 0 22 1000 Female C(0)
81 5 135 0 20 1230 Female C(0)
82 5 140 0 23 1240 Female C(0)
83 9 248 0 21 1080 Female C(0)
84 6 150 3 20 Female C(0)
85 9 113 4 19 1180 Female C(0)
86 6 120 4 22 1050 Female C(0)
87 8 157 0 18 1140 Male C(0)
88 9 186 0 18 1190 Male C(0)
89 7 147 0 20 970 Male C(0)
90 6 164 0 18 1080 Male C(0)
91 9 166 0 18 1160 Male C(0)
92 8 138 3 19 1140 Male C(0)
93 11 145 0 18 1280 Male C(0)
94 9 160 4 18 1260 Male C(0)
95 7 148 0 18 1040 Male C(0)
96 10 109 0 18 1200 Female C(0)
97 10 140 0 18 1200 Female C(0)
98 9 134 0 18 1020 Female C(2)
SN Caff. Score Body Weight Smoker Age SAT score Gender Dose
99 9 150 0 19 1120 Female C(2)
100 7 160 0 18 1130 Female C(2)
101 7 191 0 18 1090 Female C(2)
102 6 135 3 19 1290 Male C(0)
103 8 135 4 18 1300 Female C(2)
104 6 110 0 18 1030 Female C(2)
105 6 157 0 19 1130 Female C(2)
106 8 157 4 19 1030 Female C(2)
107 11 165 4 21 920 Female C(2)
108 8 137 0 18 1250 Male C(2)
109 5 150 0 18 1210 Male C(2)
110 6 186 1 21 25ACT Male C(2)
111 6 120 1 19 1100 Female C(2)
112 7 140 0 21 980 Male C(2)
113 5 150 0 21 1260 Male C(2)
114 7 157 4 20 Male C(2)
115 4 160 0 20 1275 Male C(2)
116 7 133 4 24 21ACT Male C(2)
117 6 155 0 21 Male C(2)
118 11 115 0 22 Female control
119 6 155 0 21 1170 Male control
120 8 182 0 22 1050 Male control
121 5 145 0 21 1260 Female control
122 7 150 0 18 1100 Male control
123 5 126 0 21 1058 Female control
124 9 116 0 20 1100 Male control
125 7 135 0 20 980 Female control
126 7 206 0 24 900 Male control
127 8 203 0 29 1150 Female control
128 5 155 0 20 1060 Female control
Discussion
Discussion- review results relative to hypothesis or purpose
