Читать книгу End-to-end Data Analytics for Product Development - Chris Jones - Страница 4

1 Chapter 1Figure 1.1 Population, samples, sampling units.Figure 1.2 Shapes of distributions.Figure 1.3 Shapes of distributions (symmetric and skewed distributions).Figure 1.4 Other shapes of distributions.Figure 1.5 Mean and median in symmetric distributions.Figure 1.6 Mean and median in skewed distributions.Figure 1.7 Quartiles.Figure 1.8 Frequency distributions and variability.Figure 1.9 Dotplot.Figure 1.10 Histograms and boxplots.

2 Chapter 2Figure 2.1 Process variables and conditions.Figure 2.2 Response, factors, and levels.Figure 2.3 Factors, levels, and treatments.Figure 2.4 Full and fractional designs and treatments.Figure 2.5 Advantages and disadvantages of full and fractional designs treat...Figure 2.6 Randomized design for plastic tensile strength (Example 2.1).Figure 2.7 Advantages of randomization.Figure 2.8 Advantages of blocking.Figure 2.9 RCBD for plastic tensile strength.Figure 2.10 Presence of replications for plastic tensile strength (Example 2...Figure 2.11 Advantages of replication.Figure 2.12 Model assumptions for ANOVA (Example 2.4).Figure 2.13 Residuals versus order plots.Figure 2.14 Normal probability plots.Figure 2.15 Normal distribution.Figure 2.16 Residuals versus fitted values plots.

3 Chapter 3Figure 3.1 Desirability plots with different goals.

4 Chapter 4Figure 4.1 Response surface plot for a first‐order (linear) model (graph A) ...Figure 4.2 Central composite designs for k = 2 and k = 3.Figure 4.3 Spherical CCD for k = 2 with α = .Figure 4.4 Face‐centered central composite designs for k = 2 and k = 3....Figure 4.5 The Box‐Behnken design for k = 3.Figure 4.6 The simplex for (a) p = 2, (b) p = 3, and (c) p = 4 mixture compo...Figure 4.7 The simplex for p = 3 mixture components.Figure 4.8 Axial axis for component x ₁.Figure 4.9 Locating design points.Figure 4.10 Edge midpoints.Figure 4.11 Edge trisectors.Figure 4.12 Simplex centroid design with p = 3 components.Figure 4.13 Simplex centroid design with p = 4 components.Figure 4.14 Augmented simplex centroid design with p = 3 components.Figure 4.15 Simplex lattice design of degree 3 with p = 3 components.Figure 4.16 Augmented simplex lattice design of degree 3 with p = 3 componen...Figure 4.17 Constrained mixture design.Figure 4.18 Constrained mixture design.Figure 4.19 Response surface plots for a mixture experiment with three compo...

5 Chapter 5Figure 5.1 Scatterplot of thickness vs. CEW; each point representing one obs...Figure 5.2 Scatterplot of thickness vs. CEW showing a moderate linear relati...Figure 5.3 Strength and direction of correlations.Figure 5.4 Scatterplot of thickness vs. CEW showing a strong, positive relat...Figure 5.5 Scatterplot of thickness vs. CEW showing a very strong relationsh...Figure 5.6 Scatterplot of thickness vs. CEW with regression line.Figure 5.7 Scatterplot of thickness vs. CEW with regression line, CEW = 6.25...Figure 5.8 Scatterplot of thickness vs. CEW showing a statistically signific...Figure 5.9 Residuals.Figure 5.10 Residuals versus order plots.Figure 5.11 Normal distribution.Figure 5.12 Normal probability plots.Figure 5.13 Residuals versus fitted values plots.

6 Chapter 6Figure 6.1 Bar chart of purchase intent by gender (%).Figure 6.2 Scatterplots.Figure 6.3 Different categorical response variables.