1. Psychological Science I: Statistics
Professor Matt Jones

2. Course Overview Website: http://matt.colorado.edu/teaching/stats
Approach
Conceptual understanding
Mathematical expression
Hands-on practice
Cumulative – hard to recover if you get behind
Difficult course
Plan on hr/wk outside class for a good grade

3. Coming to Class Prepared
Aim to make better use of classroom time
Come in knowing basic definitions etc.
Deeper discussion; bring questions!
Reading is required, in advance
Clicker quiz beginning each lecture

4. Lectures Online Powerpoint slides Condensed outline Summaries of
all equations

5. Homework Problem sets, due each Tuesday Turn in before lecture begins
Hw1 due 8/30 — mathematical assessment

6. Labs Hands-on experience running statistical analyses
R computer software
See syllabus for download instructions
Lesson by TA, followed by in-lab assignment
No labs this week

7. How to do Well in this Course
Come to every lecture
Ask questions
Read textbook
Do practice problems
Attend labs, do assignments
Weekly homework
Grading
Clicker quizzes
Homework
Lab assignments
Midterms and final exam

8. Other Information Please read syllabus carefully
3 midterms, 1 final exam (see schedule)
Book: Gravetter & Wallnau, 8th Edition
Calculator for exams: No graphing calculators

9. Clicker Check Statistics is A. Exciting B. Mildly Interesting C. Scary
D. Required

10. What is Statistics?
Mathematical tools for telling what’s real from random chance
3 heads? 100 heads?
Powerful theory about how information works
Same principles the brain uses to understand environment
Offers deep insights into nature of reality

11. IQ CU > CSU ? Average = 110.13 Average = 93.75 112 97 130 85 121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75
CU > CSU ?

12. IQ Average = 108.25 Average = 91.75 Average = 110.13 Average = 120.25
136
142 70 55
133 82 76
172
Average =
178
154
136
103 94
181 91
109 46 28 31
175
Average = 91.75 55
133 19
124
130
145 73 55
154
142
187 34 70
100
136
Average = 97
112 85
121
145
100
130 91 34
175 37
139
106 19
184 88
112 64 97
178
100
109 37
127
166
148
Average =
Average =
145
106 40 43
154
139
112 70 43 13 52 31 55 97 61
100 58 49
Average =
154
187
100 61 13 40
166
169
136
100 70 34
187
142
154 55
175 31
Average = 92.50 67 88
115 85 79
106
133 88 61
145 52 28 16
103
133
130 73
Average = 83.50
100 67 82 25
139 64
112 79 49 58
100 61 97 55 31 52 13 43 97
151
100
178
184 94 67
160
139
163 73
130
133
103 16 28 52
145 61 88
118 13 37 64
181 82 91
106
157 40 76
172
157 22 16 85
142
130
151 67 49
115 43 25 85
109
121
166 19 76
121
124
160 40
145
127
100 82
133
169 70
187 73
115 25 79
148
118
163
166
166
163
118
148 79 25
115 73
187 70
148 46 58
169
112
172 22
124
127 79
163
139
160 67 94
184
178
100
151 97 28 46
109 91
181 94
103
136
154
178 40
157
106 91 82
181 64 37 13
118 64
112 88
184 19
106
139 37
175 34 76 19
166
121
109 85 25 43
115 49 67
151
130
142 85 16 22
157
172 76 79
127
124 22
172
112
169 58 46
148
169
133 82
100
127
145 40
160
124
121
Average =
Average =

13. Goals of Statistics Population Sample
The group of people/events a theory applies to
Sample
The people/events observed in a particular study
Goal: Use sample to make conclusions about population
Challenge: Sampling variability
Samples have an element of randomness
Never perfectly represent population
Central question: Reliability
How to decide when a pattern in your sample is likely to be true about population as a whole?
Or, is it due to sampling variability (chance)?

14. Factors Affecting Reliability
112 97
130 85
121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75
 Sample Size
112 97
130 85
121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75 75
134 93
119 84
137 54
182
114 82
107
159 76 72 25
125

15. Factors Affecting Reliability
112 97
130 85
121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75
111
106
117
101
114
107
103
122
105 82
106
100 96 78 87
Average =
Average = 93.75

16. Factors Affecting Reliability49 58
100 61 97 55 31 52 13 43
178
154
136
103 94
181 91
109 46 28 34
175 37
139
106 19
184 88
112 64 76
172
157 22 16 85
142
130
151 67
121
124
160 40
145
127 82
133
169
166
163
118
148 79 25
115 73
187 70
Average = 125.5 49 58
100 61 97 55 31 52 13 43
178
154
136
103 94
181 91
109 46 28 34
175 37
139
106 19
184 88
112 64 76
172
157 22 16 85
142
130
151 67
121
124
160 40
145
127 82
133
169
166
163
118
148 79 25
115 73
187 70
Average = 49 58
100 61 97 55 31 52 13 43
178
154
136
103 94
181 91
109 46 28 34
175 37
139
106 19
184 88
112 64 76
172
157 22 16 85
142
130
151 67
121
124
160 40
145
127 82
133
169
166
163
118
148 79 25
115 73
187 70
Average = 87.25 49 58
100 61 97 55 31 52 13 43
178
154
136
103 94
181 91
109 46 28 34
175 37
139
106 19
184 88
112 64 76
172
157 22 16 85
142
130
151 67
121
124
160 40
145
127 82
133
169
166
163
118
148 79 25
115 73
187 70
Average = 121
100
105
108 99 97
106
104 93 96
109 95 92
103
102 94 98
101
107
Average = 99.5
100
105
108 99 97
106
104 93 96
109 95 92
103
102 94 98
101
107
Average = 99.13
100
105
108 99 97
106
104 93 96
109 95 92
103
102 94 98
101
107
Average = 100.5

17. Factors Affecting Reliability
112 97
130 85
121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75
 Variability
111
106
117
101
114
107
103
122
105 82
106
100 96 78 87
Average =
Average = 93.75

18. Factors Affecting Reliability
112 97
130 85
121
100 91
145
151 45
144
122
103 35 62 88
Average =
Average = 93.75
 Effect Size
117
102
135 90
126
105 96
150
146 40
139 98 30 57 83
Average =
Average = 88.75

19. Factors Affecting Reliability
Effect Size
Variability
Sample Size
Math!