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Advanced High School Statistics
Published 2019Table of Contents: “…-- 6 Inference for categorical data -- 6.1 Inference for a single proportion -- 6.2 Difference of two proportions -- 6.3 Testing for goodness of fit using chi-square -- 6.4 Homogeneity and independence in two-way tables -- 7 Inference for numerical data -- 7.1 Inference for a mean with the t-distribution -- 7.2 Inference for paired data -- 7.3 Inference for the difference of two means -- 8 Introduction to linear regression -- 8.1 Line fitting, residuals, and correlation -- 8.2 Fitting a line by least squares regression -- 8.3 Inference for the slope of a regression line -- 8.4 Transformations for skewed data -- A Exercise solutions -- B Distribution tables -- C Distribution Tables -- D Calculator reference, Formulas, and Inference guide…”
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Time Predictions Understanding and Avoiding Unrealism in Project Planning and Everyday Life /
Published 2018Table of Contents: “…-- 3.2 Communication of time predictions -- 3.3 Probability-based time predictions -- 3.4 Right-skewed time distributions -- 3.5 Relearning to add: 2 + 2 is usually more than 4 -- 3.6 How to predict the mean time usage -- 3.7 How time predictions affect performance -- 4. …”
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Electronic eBook -
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Principles of Business Statistics
Published 2013Table of Contents: “…1 Sampling and Data -- 1.1 Sampling and Data: Introduction -- 1.2 Sampling and Data: Statistics -- 1.3 Sampling and Data: Key Terms -- 1.4 Sampling and Data: Data -- 1.5 Sampling and Data: Variation and Critical Evaluation -- 1.6 Sampling and Data: Frequency, Relative Frequency, and Cumulative Frequency -- 2 Descriptive Statistics -- 2.1 Descriptive Statistics: Introduction -- 2.2 Descriptive Statistics: Displaying Data -- 2.3 Descriptive Statistics: Histogram -- 2.4 Descriptive Statistics: Measuring the Center of the Data -- 2.5 Descriptive Statistics: Skewness and the Mean, Median, and Mode -- 2.6 Descriptive Statistics: Measuring the Spread of the Data -- 3 The Normal Distribution -- 3.1 Normal Distribution: Introduction -- 3.2 Normal Distribution: Standard Normal Distribution -- 3.3 Normal Distribution: Z-scores -- 3.4 Normal Distribution: Areas to the Left and Right of x -- 3.5 Normal Distribution: Calculations of Probabilities -- 3.6 Central Limit Theorem: Central Limit Theorem for Sample Means -- 3.7 Central Limit Theorem: Using the Central Limit Theorem -- 4 Confidence Interval -- 4.1 Confidence Intervals: Introduction -- 4.2 Confidence Intervals: Confidence Interval, Single Population Mean, Population Standard Deviation Known, Normal -- 4.3 Confidence Intervals: Confidence Interval, Single Population Mean, Standard Deviation Unknown, Student's-t -- 4.4 Confidence Intervals: Confidence Interval for a Population Proportion -- 5 Hypothesis Testing -- 5.1 Hypothesis Testing of Single Mean and Single Proportion: Introduction -- 5.2 Hypothesis Testing of Single Mean and Single Proportion: Null and Alternate Hypotheses -- 5.3 Hypothesis Testing of Single Mean and Single Proportion: Using the Sample to Test the Null Hypothesis -- 5.4 Hypothesis Testing of Single Mean and Single Proportion: Decision and Conclusion -- 6 Linear Regression and Correlation -- 6.1 Linear Regression and Correlation: Introduction -- 6.2 Linear Regression and Correlation: Linear Equations -- 6.3 Linear Regression and Correlation: Slope and Y-Intercept of a Linear Equation -- 6.4 Linear Regression and Correlation: Scatter Plots -- 6.5 Linear Regression and Correlation: The Regression Equation -- 6.6 Linear Regression and Correlation: Correlation Coefficient and Coefficient of Determination -- 6.7 Linear Regression and Correlation: Testing the Significance of the Correlation Coefficient -- 6.8 Linear Regression and Correlation: Prediction…”
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