Inference and Experiments
Ava Garcia
8 min read
Study Guide Overview
This study guide covers statistical inference, drawing conclusions about populations from samples. It explains key concepts like population, sample, parameter, and statistic. It also discusses sampling variability and its impact on accuracy. Inferences for experiments are covered, emphasizing random assignment for establishing cause and effect, and statistical significance. Finally, the guide provides exam tips, focusing on sampling methods, experimental design, and statistical significance, along with practice questions and a rubric.
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Question 1 of 10
🎉 Which of the following is an example of a parameter?
The average height of women in a sample of 100
The true average height of all women
The proportion of voters in a sample who support a candidate
The number of plants in an experimental group