figure 6.1 histogram of temperature data

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Introduction to Engineering Experimentation, Third EditionAnthony J. Wheeler • Ahmad R. Ganji




Figure 6.1 Histogram of temperature data.




Figure 6.2 Some shapes of distributions: (a) symmetric; (b) skewed; (c) J-shaped; (d) bimodal; (e) uniform. (After Johnson, 1988.)




Figure 6.3 Relative frequencies of duct temperatures.




Figure E6.1




Figure E6.2




Figure 6.4 Normal distribution function.




Figure 6.5 Standard normal distribution function.




Table 6.3 (continued) Area Under the Normal Distribution From z = 0 to z




Figure E6.9a,b




Figure E6.9c,d




Figure 6.6 Distribution suitable for lognormal analysis.




Figure 6.7 Concept of confidence interval of the mean.




Figure 6.8 Probability density function using the Student’s t-distribution.




Figure 6.9 Confidence interval for the t-distribution.




Table 6.6 (continued) Student's t as a function of and




Figure 6.10 Chi-squared distribution function.




Figure 6.11 Confidence interval for the chi-squared distribution.




Table 6.7 (continued) Critical Values of the Chi-Squared Distribution




Figure 6.12 Data showing variation in scatter of the dependent variable, y.




Table 6.9 (continued) Minimum Values of the Correlation Coefficient for Significance Level




Figure E6.19




Figure 6.13 Fitting a straight line through data.




Figure 6.14 Least-squares line with forced origin.




Figure E6.20




Figure 6.15 x–y data showing an outlier.




Figure 6.16 Plot of standardized residuals.




Figure 6.17 Nonlinear data.




Figure 6.18 Normalized residuals for nonlinear data.




Figure E6.23a




Figure E6.23b




Figure E6.24a




Figure E6.24b




Figure E6.26 Caption




Figure E6.27 Caption




Figure P6.81

figure 6.1 histogram of temperature data

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