Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ),Used
Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ),Used
Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ),Used
Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ),Used

Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ),Used

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SKU: SONG1572229446
UPC: 654614209443.0
Brand: QuickStudy
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Essential #1 bestselling reference for more than 20 years sold in almost every college bookstore in the country. The core statistics course is a critical and difficult class for many and develops a foundation that will support use of statistics in higher level courses in so many subject areas and majors. This sixpage laminated guide is filled with more needtoknow facts per page than any book or website and will continue to support in future study. The equations, tables, and graphs that matter most accompany concisely written explanations in an outline format for easy access. This reference tool for students and professionals is proven to work selling millions since it's release. With the answers you need at your fingertips this durable tool will last your entire career and is an incredible value.6 page laminated guide includes: Terminology Frequency Distribution Measures of Central Tendency Measures of Dispersion Graphing Techniques Probability Random Variables Continuous Random Variables Statistical Inference Biased & Unbiased Estimators Standard Error of the Mean Hypothesis Testing Central Limit Theorem Inference for Population Mean Using the ZStatistic Inference for Population Mean using the tStatistic Confidence Intervals Comparing Population Means Comparing Variances Analysis of Variance (ANOVA) Proportions Correlation ChiSquare Tests Hypothesis Test for Linear Correlation Regression Simple Linear Regression Significance of a Regression Model Linear Determination Residuals

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