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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)
Identifying different types of studies
1.8.2
(Optional)
Terminology
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
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
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
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
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
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
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
10
Teaching Week 10: tutorial
10.1
Quick revision
10.2
Consistency
10.3
CI and test for odds ratios
10.4
Tests for ORs
10.5
Identify the correct test
10.6
Sample size calculations
11
Teaching Week 11: Tutorial
11.1
Confidence intervals
11.2
Critiquing past students' reports 1
11.3
Critiquing past students' reports 2
11.4
Tests for ORs
11.5
Critiquing past students' reports 3
11.6
Critiquing past students' reports 4
12
Teaching Week 12: Tutorial
12.1
Quick revision
12.2
Understanding correlations and regression
12.3
Interpreting regressions
12.4
Regression and correlation
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
Symbols, formulas, statistics and parameters
C.1
Symbols and standard errors
C.2
Confidence intervals
C.3
Hypothesis testing
C.4
Sample size estimation
C.5
Other formulas
C.6
Other symbols and abbreviations used
D
Appendix: Image credits
E
Thoughts for teaching
References
Published with bookdown
A
A
Serif
Sans
White
Sepia
Night
Spacing -
Spacing +
Science Research Methods: Tutorials
C
Symbols, formulas, statistics and parameters
The following information appears in this Appendix:
Symbols and standard errors for confidence intervals and hypothesis testing
Information about forming confidence intervals
Information for hypothesis testing
Information for estimating sample sizes
Other formulas used
Other symbols used