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45049157
Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
88% of respondents would recommend this to a friend
Vara #:
45049157
ISK 3129
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Hypothesis testing plays a crucial role in making data-driven decisions.
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What Stands Out
User-Friendly Approach
This guide simplifies complex statistical concepts using intuitive explanations, making hypothesis testing accessible even for non-experts and empowering readers to make informed, data-driven decisions confidently.
Practical Examples
Real-world case studies illustrate hypothesis testing applications, helping users understand its relevance and practical utility in everyday decision-making scenarios across various fields.
Engaging Format
Designed with readability in mind, the book incorporates visuals and interactive elements that enhance comprehension, ensuring readers stay engaged while mastering critical data analysis techniques.
Upplýsingar um vöru
- Understand the importance of hypothesis testing in data-driven decision making
- Learn how to use and interpret significance levels, p-values, and confidence intervals
- Gain knowledge on selecting the appropriate test for different scenarios
- Explore various hypothesis tests including One-Way ANOVA, Two-Way ANOVA, t-tests, chi-squared, and more
- Access free downloadable datasets and practical examples for hands-on learning
- Authored by Jim Frost, a statistics expert with over 20 years of experience in academic research and consulting projects
| Publisher | Statistics By Jim Publishing |
| Publication date | September 14, 2020 |
| Language | English |
| Print length | 381 pages |
| ISBN-10 | 173543115X |
| ISBN-13 | 978-1735431154 |
| Item Weight | 1.12 pounds (510 grams) |
| Dimensions | 6 x 0.86 x 9 inches (15.2 x 2.2 x 22.9 cm) |
Who Should Buy?
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Business Analysts
Ideal for analysts seeking to use data effectively to derive insights and support strategic decisions within organizations.
-
Students
Great resource for students studying statistics or data science to build a solid understanding of hypothesis testing concepts.
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Marketing Professionals
Useful for marketers who want to validate assumptions about campaigns through data analysis and make informed choices.
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Statistics Experts
Not suitable for advanced statisticians who already possess comprehensive knowledge and require more complex statistical theories.
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Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
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Probability & Statistics Editorial Review
Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions offers a practical exploration of statistical hypothesis testing, making complex concepts accessible through clear writing and illustrative graphs. Readers appreciate the informative discussions on interpreting p-values and the implications of sample size on results, highlighting important considerations like the need for proper study replication to ensure reliable conclusions. The author emphasizes the significance of domain knowledge in analyzing statistical results, making it a fantastic recommendation for both students and professionals in statistics, economics, and various scientific fields. This book not only serves as a guide to hypothesis testing but also equips readers to better understand and evaluate statistical claims in research.
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Umsögn um þessa vöru
Deildu áliti þínu með öðrum viðskiptavinum
Kostir
- Practical perspective on statistical concepts
- Accessible writing for all levels
- Illustrated with helpful plots and graphs
- Emphasizes domain knowledge importance
- Ideal for students and practitioners
Gallar
- Figures could be clearer in color rather than grayscale
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ISK 3129
Pantaðu núna og fáðu það í kringum föstudagur, Október 16
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Eiginleikar og kostir
- Understand the importance of hypothesis testing in data analysis.
- Learn to use significance levels, p-values, confidence intervals, and choose the correct type of test.
- Test means, medians, variances, proportions, distributions, counts, and correlations for continuous and categorical data.
- Access free datasets to practice hypothesis testing.
- Author Jim Frost has over 20 years of experience in statistical analysis and consulting.
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