SCI110 tutorials
Preface
Answers to questions
Statistical software
Chunks used in this book
How this book was made
Learning outcomes
How to cite this book
1
Teaching Week 1: tutorial
1.1
Quick revision
1.2
Research process
1.3
Forming RQs
1.4
Terminology
1.5
Terminology
1.6
Creating research questions and studies
1.7
Identifying units of analysis and units of observation
1.8
Optional questions
1.8.1
Optional
: Identifying different types of studies
1.8.2
Optional
: Terminology
1.8.3
Optional
: Identifying poor RQs
1.8.4
Optional
: Understanding the terminology
1.8.5
Optional
: Units of analysis, and units of observation
1.8.6
Optional
: Units of analysis, and units of observation
2
Teaching Week 2: tutorial
2.1
Quick revision
2.2
Study design
2.3
Language
2.4
Assessing reports
2.5
Planning a research study
2.6
Study design features
2.7
Optional
: Sampling
2.8
Optional
: Understanding terminology
2.9
Optional
: Understanding studies
2.10
Optional
: Random allocation
2.11
Optional
: Evaluating reports
2.12
Optional
: Designing and planning studies
3
Teaching Week 3: tutorial
3.1
Quick revision
3.2
Using the calculator statistics mode
3.3
Understanding centre and variation
3.4
Understanding histograms
3.5
Collecting data
3.6
Interpreting graphs
3.7
Optional
: Using the calculator statistics mode
3.8
Optional
: Interpreting histograms
3.9
Optional
: Understanding graphics
3.10
Drills
: computational exercises
4
Teaching Week 4: tutorial
4.1
Quick revision
4.2
Percentages and odds
4.3
Two-way tables
4.4
Optional questions
4.4.1
Optional
: Odds ratios
4.4.2
Optional
: Percentages and odds
4.4.3
Optional
: Odds
4.4.4
Optional
: Working with odds
4.4.5
Optional
: Percentages
4.5
Drills
: Computational exercises
5
Teaching Week 5: tutorial
5.1
Quick revision
5.2
Quick revision
5.3
Critiquing students' numerical summaries
5.4
Numerical summary for ruler-drop data
5.5
Which summary measures to use
5.6
Understanding RQs and variables
5.7
Optional
: Interpreting and drawing boxplots
5.8
Optional
: Selecting the correct graph
5.9
Identifying appropriate graphs
5.10
Critiquing students' graphs
5.11
Optional
: Selecting graphics
5.12
Optional
: Evaluating graphics
5.13
Optional
: Evaluating graphics
5.14
Optional
: Selecting graphs
6
Teaching Week 6: tutorial
6.1
Quick revision
6.2
Normal distributions and IQs
6.3
Normal distributions and heights
6.4
Probability
6.5
The decision-making process
6.6
Random coin tosses
6.7
Optional
: Working with normal distributions
7
Teaching Week 7: tutorial
7.1
Quick revision
7.2
Standard error for proportions
7.3
CIs for one proportion
7.4
CIs for one mean
7.5
CIs for mean differences (paired data)
7.6
CI for the ruler-drop
7.7
Optional
: CI for one mean
7.8
Optional
: CI for one proportion
7.9
Optional
: CI for mean differences (paired data)
7.10
Optional
: CI for mean differences (paired data)
7.11
Drills
: Computational exercises
8
Teaching Week 8: tutorial
8.1
Quick revision
8.2
Concepts
8.3
CIs for difference between two independent samples
8.4
CI for odds ratios
8.5
Sample size calculations
8.6
Optional
: Understanding the language of research and statistics
8.7
Optional
: CI for differences between means
8.8
Optional
: Odds and odds ratio
9
Teaching Week 9: tutorial
9.1
Quick revision
9.2
Tests for one mean
9.3
\(P\)
-values
9.4
Tests for paired samples
9.5
Test for the ruler-drop
9.6
Test for one proportion
9.7
Optional
: Tests for one mean
9.8
Optional
: General ideas
9.9
Optional
:
\(P\)
-values
9.10
Optional
: Tests for paired samples
10
Teaching Week 10: tutorial
10.1
Quick revision
10.2
Tests for two means
10.3
Matching RQs and hypotheses
10.4
Tests for ORs
10.5
Identify the correct test
10.6
Optional
: Two-way tables
10.7
Optional
: Comparing two independent means
10.8
Optional
: Assumptions
10.9
Optional
: Tests for comparing the mean from two independent samples
10.10
Optional
: Tests for ORs
10.11
Optional
: Tests for ORs
11
Teaching Week 11: Tutorial
11.1
Quick revision
11.2
Understanding correlations and regression
11.3
Interpreting regressions
11.4
Regression and correlation
11.5
Optional
: Identifying the correct analysis
11.6
Optional
: Reading scatterplots
12
Teaching Week 12: Tutorial
12.1
Confidence intervals
12.2
Critiquing past students' reports 1
12.3
Critiquing past students' reports 2
12.4
Critiquing past students' reports 3
12.5
Critiquing past students' reports 4
12.6
Optional
: Deciding which test to use
12.7
Optional
: Reading research articles
12.8
Optional
: Reading research articles
Appendices
A
Answers for exercises
A.1
Answer: TW 1 tutorial
A.2
Answer: TW 2 tutorial
A.3
Answer: TW 3 tutorial
A.4
Answer: TW 4 tutorial
A.5
Answer: TW 5 tutorial
A.6
Answer: TW 6 tutorial
A.7
Answer: TW 7 tutorial
A.8
Answer: TW 8 tutorial
A.9
Answer: TW 9 tutorial
A.10
Answer: TW 10 tutorial
A.11
Answer: TW 11 tutorial
A.12
Answer: TW 12 tutorial
B
Appendix: Tables
B.1
Random numbers
B.2
When the
\(z\)
-score is known, and the area is sought
B.3
When the area is known, and the
\(z\)
-score is sought
C
Appendix: Data sets
D
Appendix: Image credits
E
Thoughts for teaching
References
Published with bookdown
Science Research Methods: Tutorials
3.9
Optional
: Understanding graphics
This question is
optional
; e.g., if you need more practice, or you are studying for the exam.