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Ebook Basic business statistics - Concepts and applications (12th edition): Part 1

(BQ) Part 1 book "Basic business statistics - Concepts and applications" has contents: Introduction, organizing and visualizing data, basic probability, discrete probability distributions, the normal distribution and other continuous distributions,.and other contents. | A ROADMAP FOR SELECTING A STATISTICAL METHOD TYPE OF DATA Type of Analysis Numerical Categorical Describing a group or several groups Ordered array, stem-and-leaf display, frequency distribution, relative frequency distribution, percentage distribution, cumulative percentage distribution, histogram, polygon, cumulative percentage polygon (Sections 2.3, 2.5) Mean, median, mode, quartiles, geometric mean, range, interquartile range, standard deviation, variance, coefficient of variation, boxplot (Sections 3.1, 3.2, 3.3) Index numbers (Online Topic 16.8) Summary table, bar chart, pie chart, Pareto chart (Sections 2.2, 2.4) Inference about one group Confidence interval estimate of the mean (Sections 8.1 and 8.2) t test for the mean (Section 9.2) Chi-square test for a variance (Section 12.5) Confidence interval estimate of the proportion (Section 8.3) Z test for the proportion (Section 9.4) Comparing two groups Tests for the difference in the means of two independent populations (Section 10.1) Paired t test (Section 10.2) F test for the difference between two variances (Section 10.4) Wilcoxon rank sum test (Section 12.6) Wilcoxon signed ranks test (Online Topic 12.8) Z test for the difference between two proportions (Section 10.3) Chi-square test for the difference between two proportions (Section 12.1) McNemar test for the difference between two proportions in related samples (Section 12.4) Comparing more than two groups One-way analysis of variance (Section 11.1) Randomized block design (Section 11.2) Two-way analysis of variance (Section 11.3) Kruskal-Wallis test (Section 12.7) Friedman rank test (Online Topic 12.9) Chi-square test for differences among more than two proportions (Section 12.2) Analyzing the relationship between two variables Scatter plot, time series plot (Section 2.6) Covariance, coefficient of correlation (Section 3.5) Simple linear regression (Chapter 13) t test of correlation (Section 13.7) Time series forecasting (Chapter .