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SCI110 tutorials
Preface
Answers to questions
Statistical software
Data sets
Call-outs 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)
Terminology
1.8.2
(Optional)
Identifying different types of studies
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 questions
2.7.1
(Optional)
Sampling
2.7.2
(Optional)
Understanding terminology
2.7.3
(Optional)
Understanding studies
2.7.4
(Optional)
Random allocation
2.7.5
(Optional)
Evaluating reports
2.7.6
(Optional)
Designing and planning studies
3
Teaching Week 3: tutorial
3.1
Quick revision
3.2
Using the calculator statistics mode for a small data set
3.3
Understanding centre and variation
3.4
Understanding histograms
3.5
Collecting data
3.6
Interpreting graphs
3.7
Drills
: computational exercises
3.8
Optional questions
3.8.1
(Optional)
Using the calculator Statistics Mode
3.8.2
(Optional)
Interpreting histograms
3.8.3
(Optional)
Understanding graphics
4
Teaching Week 4: tutorial
4.1
Quick revision
4.2
Percentages and odds
4.3
Two-way tables
4.4
Working with odds
4.5
Drills
: Computational exercises
4.6
Optional questions
4.6.1
(Optional)
Odds ratios
4.6.2
(Optional)
Percentages and odds
4.6.3
(Optional)
Odds
4.6.4
(Optional)
Percentages
5
Teaching Week 5: tutorial
5.1
Quick revision
5.2
Critiquing students' numerical summaries
5.3
Critiquing students' graphs
5.4
Understanding correlations
5.5
Numerical summary for ruler-drop data
5.6
Which summary measures to use
5.7
Optional questions
5.7.1
(Optional)
Understanding RQs and variables
5.7.2
(Optional)
Interpreting and drawing boxplots
5.7.3
(Optional)
Selecting the correct graph
5.7.4
(Optional)
Identifying appropriate graphs
5.7.5
(Optional)
Selecting graphics
5.7.6
(Optional)
Evaluating graphics
5.7.7
(Optional)
Evaluating graphics
5.7.8
(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
Random coin tosses
6.6
Optional questions
6.6.1
(Optional)
Working with normal distributions
7
Teaching Week 7: tutorial
7.1
Quick revision
7.2
Concepts
7.3
Standard error for a proportion
7.4
CIs for one proportion
7.5
CIs for one mean
7.6
Drills
: Computational exercises
7.7
Optional questions
7.7.1
(Optional)
General ideas
7.7.2
(Optional)
CI for one mean
7.7.3
(Optional)
CI for one proportion
8
Teaching Week 8: tutorial
8.1
Quick revision
8.2
The decision-making process
8.3
Test for one proportion
8.4
Tests for one mean
8.5
P
-values
8.6
Optional questions
8.6.1
(Optional)
Tests for one mean
8.6.2
(Optional)
Understanding the language of research and statistics
9
Teaching Week 9: tutorial
9.1
Quick revision
9.2
Matching RQs and hypotheses
9.3
CIs and tests for mean differences (paired data)
9.4
CI and test for the ruler-drop
9.5
CIs and test for difference between two sample means
9.6
Optional questions
9.6.1
(Optional)
CIs and tests for paired samples
9.6.2
(Optional)
CI and test for mean differences (paired data)
9.6.3
(Optional)
CI for differences between two means
9.6.4
(Optional)
Tests for comparing the mean from two independent samples
9.6.5
(Optional)
Assumptions for two-sample tests
10
Teaching Week 10: tutorial
10.1
Quick revision
10.2
CI and test for odds ratios
10.3
Tests for ORs
10.4
Identify the correct test
10.5
Sample size calculations
10.6
Optional questions
10.6.1
(Optional)
Odds and odds ratio
10.6.2
(Optional)
Two-way tables
10.6.3
(Optional)
CIs and 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 questions
11.5.1
(Optional)
Identifying the correct analysis
11.5.2
(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
Tests for ORs
12.5
Critiquing past students' reports 3
12.6
Critiquing past students' reports 4
12.7
Optional questions
12.7.1
(Optional)
Deciding which test to use
12.7.2
(Optional)
Reading research articles
12.7.3
(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
When the
z
-score is known, and the area is sought
B.2
When the area is known, and the
z
-score is sought
B.3
Random numbers
C
Appendix: Image credits
D
Thoughts for teaching
References
Published with bookdown
A
A
Serif
Sans
White
Sepia
Night
Spacing -
Spacing +
Science Research Methods: Tutorials
Thoughts on Teaching Week 8 tutorial
Thoughts on Sect.
8.5
We only need to use the
68
--
95
--
99.7
rule. The one-tailed
P
-values are
half
of the two-tailed
P
-values.
Return to index of tutor information.