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45049157
Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
88% of respondents would recommend this to a friend
Item #:
45049157
BOB 149
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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.
Product Details
- 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?
-
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.
-
Marketing Professionals
Useful for marketers who want to validate assumptions about campaigns through data analysis and make informed choices.
-
Statistics Experts
Not suitable for advanced statisticians who already possess comprehensive knowledge and require more complex statistical theories.
Product Description
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 is a valuable resource for anyone looking to improve their understanding of hypothesis testing. The book presents commonly used hypothesis testing methods used in various fields and makes the subject easy to comprehend for beginners. The book is well-structured with clear explanations and practical examples. It is perfect for entry to intermediate level statisticians, economists, and researchers who need to Construct and answer hypothesis testing questions in their studies.
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Pros
- Clear and practical explanations
- Valuable resource for beginners
- Well-structured book
- Useful for study design
- Great for brushing up on statistics
- Recommended for entry to intermediate level statisticians, economists, and researchers
Cons
- Promotes author's other book
Product Price History
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Features & Benefits
- 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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