Statistical hypothesis testing

Part 1 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 1 - Data spread, standard deviations; Chapter 2 - Data summaries, histograms, wide and narrow gaussian curves; Chapter 3 - Null-hypothesis testing with graphs; Chapter 4 - Null-hypothesis testing with the T-table; Chapter 5 - One-sample continuous data (One-sample T-test, One-sample Wilcoxon test); Chapter 6 - Paired continuous data (Paired T-test, Wilcoxon signed rank test); C...

160p daonhiennhien 03-07-2024 2 1   Download

Part 2 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 27 - Robust tests for imperfect data; Chapter 28 - Non-linear modeling on a pocket calculator; Chapter 29 - Fuzzy modeling for imprecise and incomplete data; Chapter 30 - Bhattacharya modeling for unmasking hidden Gaussian curves; Chapter 31 - Item response modeling instead of classical linear analysis of questionnaires; Chapter 32 - Meta-analysis of continuous data; Chapter 33...

168p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 9 - Inference; Chapter 10 - Hypothesis testing; Chapter 11 - Linear regression; Appendix A - Introduction to R; Appendix B - Solutions to exercises; Appendix C - Technical appendix; Appendix D - Visual summaries;...

272p daonhiennhien 03-07-2024 2 1   Download

Part 1 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 1 - Theory of probability; Chapter 2 - Random variables and their distributions; Chapter 3 - Three fundamental distributions - binomial, Gaussian, and poisson; Chapter 4 - Functions of random variables and error propagation; Chapter 5 - Maximum likelihood and other methods to estimate variables; Chapter 6 - Mean, median, and average values of variables; Chapter 7 - Hypothesis testing and statistics;...

158p daonhiennhien 03-07-2024 4 1   Download

The study encompasses various analytical techniques, including descriptive statistics, Cronbach’s Alpha, Exploratory Factor Analysis (EFA), multivariate regression models, and hypothesis testing through SPSS software. The findings reveal that six key factors, namely leadership, digital business strategy, employee capabilities, technology infrastructure, organizational culture, and external market pressures, exert significant influence on digital transformation in these enterprises.

10p leminhvu111 07-06-2024 1 0   Download

Present study is ascertain to elaborate the role of green supply chain management towards the suppliers’ performance. Further, the role of social capital as a potential mediator is also explored in the Thai business to business (B2B) context. Data was collected by using the survey questionnaires. Different statistical tests for measurement model and hypothesis testing respectively. Findings highlighted that suppliers’ performance both in environmental and operational terms improves due to the GSCM practices.

13p longtimenosee10 26-04-2024 4 1   Download

This study examines the relationship between financial leverage deviations and supply chain management rewards on investment diversions in companies admitted to Tehran Stock Exchange during the period of 1387-1395. Therefore, information and statistics of 70 Tehran Stock Exchange members were analyzed using panel data approach and tested by hypothesis testing of three models.

16p longtimenosee10 26-04-2024 3 1   Download

This study evaluates the factors influencing environmental accounting in leather shoe manufacturing companies in Vietnam. Primary data were collected from February 2023 to May 2023, with 283 valid observations for formal research. The analytical and data processing tools used include descriptive statistical methods, reliability testing of scales, exploratory factor analysis (EFA), and hypothesis testing using the least squares method.

12p longtimenosee09 08-04-2024 4 1   Download

Part 2 book "Introduction to probability and statistics for engineers and scientists" includes content: Hypothesis testing, regression, analysis of variance, goodness of fit tests and categorical data analysis, nonparametric hypothesis tests, quality control, simulation, bootstrap statistical methods, and permutation tests.

372p muasambanhan06 01-02-2024 2 0   Download

This study was conducted to test the hypothesis of a statistically meaningful existence between woody plant diversity and aboveground carbon stock in the tropical moist evergreen closed forests at Dong Nai Cultural Nature Reserve. The result showed that, in total, 49 plant species of 30 families were recorded.

10p vikissinger 21-12-2023 4 2   Download

Continued part 1, part 2 of ebook "Statistics for economics, accounting and business studies (Seventh edition)" provides readers with contents including: Chapter 5 - Hypothesis testing; Chapter 6 - The X2 and F distributions; Chapter 7 - Correlation and regression; Chapter 8 - Multiple regression; Chapter 9 - Data collection and sampling methods; Chapter 10 - Index numbers; Chapter 11 - Seasonal adjustment of time-series;...

305p mocthanhdao0210 19-11-2023 8 4   Download

Ebook "Introduction to statistical pattern recognition" includes content: Introduction, random vectors and their properties, hypothesis testing, parametric classifiers, parameter estimation, nonparametric density estimation, nonparametric classification and error estimation, feature extraction and linear mapping for signal representation, feature extraction and linear mapping for classification, clustering.

616p haojiubujain07 20-09-2023 5 3   Download

Part 2 book "Statistics and computers for animal and veterinary sciences" includes content: Tests of hypothesis, small sample tests, chi square test, unsolved problems, entering and saving biological data through MS-excel, computer networks, computer basics and components of computer, design of experiment.

125p oursky05 20-09-2023 1 1   Download

Continued part 1, part 2 of ebook "Statistics with Julia: Fundamentals for data science, machine learning and artificial intelligence" provides readers with contents including: statistical inference concepts - DRAFT; confidence intervals - DRAFT; hypothesis testing - DRAFT; linear regression and extensions - DRAFT; machine learning basics - DRAFT; simulation of dynamic models - DRAFT;...

227p tieulangtran 28-09-2023 8 3   Download

In research designs that rely on observational ratings provided by two raters, assessing inter-rater reliability (IRR) is a frequently required task. However, some studies fall short in properly utilizing statistical procedures, omitting essential information necessary for interpreting their findings, or inadequately addressing the impact of IRR on subsequent analyses’ statistical power for hypothesis testing.

5p vioracle 29-09-2023 6 2   Download

Continued part 1, part 2 of ebook "Statistics for business" provides readers with contents including: hypothesis testing of a single population; hypothesis testing for different populations; forecasting and estimating from correlated data; indexing as a method for data analysis; key terminology and formula in statistics;...

262p thamnhuocgiai 24-09-2023 7 5   Download

Continued part 1, part 2 of ebook "Statistics (Eleventh edition)" provides readers with contents including: t test for two independent samples; t test for two related samples (repeated measures); analysis of variance (one factor); analysis of variance (repeated measures); chi-square (x2) test for qualitative (nominal) data; tests for ranked (ordinal) data;...

239p thamnhuocgiai 24-09-2023 7 3   Download

Lecture Business research methods (12/e) - Chapter 17: Hypothesis testing. After studying this chapter you will be able to understand: The nature and logic of hypothesis testing, a statistically significant difference, the six-step hypothesis testing procedure, the differences between parametric and nonparametric tests and when to use each, the factors that influence the selection of an appropriate test of statistical significance, how to interpret the various test statistics.

67p haojiubujain04 27-07-2023 4 4   Download

Lecture Communication research: Asking questions, finding answers (4/e) - Chapter 9: Descriptive statistics, significance levels, and hypothesis testing. After reading this chapter, you should be able to: Explain the concept of the normal curve, assess data for its distribution and compare it to the normal curve, create a frequency distribution and polygon for each variable in a dataset, compute and interpret the mean, median, and mode for each variable in a dataset,...

17p haojiubujain04 27-07-2023 6 6   Download

Lecture Communication research: Asking questions, finding answers (4/e) - Chapter 10: Testing for differences. After reading this chapter, you should be able to: Explain the difference between descriptive and inferential statistics, use the four analytical steps to design and evaluate research designs and statistical findings, develop a hypothesis or research question and select the appropriate statistical test of difference (chi-square, t -test, ANOVA).

27p haojiubujain04 27-07-2023 8 6   Download