7 min read
This study guide covers interpreting statistical data (tables, charts, graphs), including bar graphs, line graphs, pie charts, and scatterplots. It also discusses bias and errors in research (selection, response, researcher bias, confounding variables), evaluating research methods (sampling techniques, experimental design), sample size and reliability, and assessing statistical conclusions (evidence strength, well-supported conclusions).
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Question 1 of 7
📊 Which type of graph is MOST suitable for showing the distribution of student grades in a class?
Line graph
Pie chart
Bar graph
Scatterplot