Statistics in Engineering
With examples in MATLAB^® and R

Andrew Metcalfe, David Green, Tony Greenfield, Mahayaudin Mansor, Andrew Smith and Jonathan Tuke.

Chapter 3

Data sets

We consider how to take a sample so that it is likely to be a fair representation of the population from which it is drawn. You will learn how to present data using diagrams and numerical summary measures. In some applications the time order of the observations is particularly relevant, and we refer to the data as a time series. We consider a descriptive approach that describes a time series as a combination of a trend, seasonal effects and an random component.

Table 3.1: Power on reset of single-event functional interrupt.
Example 3.11: Gold grades.
Example 3.12: Animas River.
Example 3.13: Road safety.
Table 3.3: Energy generation.
Table 3.4: Wave headings during hurricanes in the North Sea.
Table 3.5: Asbestos-type fibers in one-liter samples of air.
Section 3.3.8: Compressive strengths of 180 concrete cubes.
Example 3.20: Hull roughness.
Table 3.6: Reason for RAA roadside assistance.
Figure 3.17: U.S. E.P.A. water quality.
Example 3.23: Wind speeds.
Example 3.24: Flood prevention.
Table 3.7: Compressive strengths of 200 pavers.
Example 3.27: Old Faithful.
Table 3.8: Properties with lead communication pipes.
Table 3.9: Hardap dam inflows.
Table 3.10: Attenuation performance for hearing protectors.
Example 3.33: Heat of sublimation of platinum.
Example 3.34: Cable corrosion.
Table 3.11: Car occupancy before car sharing.
Table 3.12: Wave heights and headings in the Irish Sea.
Example 3.38: Discs and wheels.
Table 3.13: Stress corresponding to wave height.
Example 3.39: Precision components.
Example 3.40: Aerotrain.
Example 3.41: Dublin City Council.
Example 3.42: LAN data.
Example 3.43: Earthquake.
Example 3.44: Ferry fuel usage.
Table 3.14: Comparative statistics for six data sets.
Section 3.9.1: Scatter plot.
Example 3.45: Sea states.
Example 3.46: Robot arms.
Example 3.47: Sea ports.
Example 3.48: Electricity usage.
Figure 3.36: Average electricity use per person.
Table 3.16: Motoring costs.
Exercise 3.5: Cable lengths.
Exercise 3.6: PAH concentrations.
Exercise 3.7: Sea level 1.
Exercise 3.8: Sea level 2.
Exercise 3.11: L-moments.
Exercise 3.21: Carbon content of coal.
Exercise 3.23: Speed of light.
Exercise 3.25: Floods.
Exercise 3.26: River flows 1.
Exercise 3.27: Erfenis dam.
Exercise 3.28: Grouped data.
Exercise 3.29: Skewness and kurtosis.
Exercise 3.30: River flows 2.
Exercise 3.31: Cans of paint.
Exercise 3.34: Laspeyre.

The TABLE 3.12: .