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Grade 9
Scientific Investigation
1. Research Methods
1.2 Data Analysis, Advanced statistical methods, Scientific Investigation
Master Advanced Statistical Methods for Scientific Investigation
Learners explore how to analyze data using scatter plots, box plots, hypothesis testing, and key statistical measures to draw valid scientific conclusions.
What You'll Learn
Scatter plots reveal positive correlations between two measured scientific variables.
Box plots display data distribution using median and interquartile range values.
Hypothesis testing determines if experimental results are statistically significant findings.
Key terms like mean, outlier, and sample size underpin all data analysis.
What You'll Practice
1
Students interpret scatter plots to identify positive correlations between variables.
2
Learners analyze box plots to compare treated and untreated experimental groups.
3
Practice questions test knowledge of hypothesis testing and statistical significance concepts.
Why This Matters
Mastering advanced statistical methods empowers students to evaluate scientific evidence critically and draw valid, data-driven conclusions in any field of inquiry.
This Unit Includes
Practice exercises
Learning resources
Skills
Data Analysis
Hypothesis Testing
Scatter Plots
Statistical Significance
Correlation
BC Curriculum Aligned