ENVI 101 Lecture Notes - Lecture 9: Null Hypothesis, Variance, Standard Deviation

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Statistics is the methodology for collecting, analyzing, interpreting, and drawing conclusions from data. Data are facts that can be analyzed or used on an effort to gain knowledge and make informed decisions. Design: planning and carrying out research studies. Inference: making predictions and generalizing about phenomena represented by the data. To be able to effectively conduct research. To be able to read and evaluate journal articles. To further develop critical thinking and analytic skills. Variable: any characteristic, number, or quantity that can be measured or counted. Quantitative variables can be further classified as discrete or continuous. Discrete variable: has a countable number in a specific range. Continuous variable: can take on any value in a certain range. Descriptive statistics consist of methods for organizing and summarizing info (data) Includes the construction of graphs, charts and tables. Arithmetic mean: the sum of a collection of numbers divided by the number of numbers in the collection (sample size)

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