Figure 6.1 Histogram of temperature data.

2. Figure 6.1 Histogram of temperature data.

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

5. Figure 6.3 Relative frequencies of duct temperatures.

6. Figure E6.1

7. Figure E6.2

8. Figure 6.4 Normal distribution function.

9. Figure 6.5 Standard normal distribution function.

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

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

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

14. Figure E6.9a,b

15. Figure E6.9c,d

17. Figure 6.6 Distribution suitable for lognormal analysis.

19. Figure 6.7 Concept of confidence interval of the mean.

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

21. Figure 6.9 Confidence interval for the t-distribution.

23. Table 6.6 (continued) Student's t as a function of  and 

24. Figure 6.10 Chi-squared distribution function.

25. Figure 6.11 Confidence interval for the chi-squared distribution.

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

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

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

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

33. Figure E6.19

34. Figure 6.13 Fitting a straight line through data.

35. Figure 6.14 Least-squares line with forced origin.

36. Figure E6.20

37. Figure 6.15 x–y data showing an outlier.

38. Figure 6.16 Plot of standardized residuals.

39. Figure 6.17 Nonlinear data.

40. Figure 6.18 Normalized residuals for nonlinear data.

41. Figure E6.23a

42. Figure E6.23b

44. Figure E6.24a

45. FigureE6.24b

46. Figure E6.26 Caption

47. Figure E6.27 Caption

48. Figure P6.81