Solved Problems

The following examples cover the classification of variables, different types of data, and various sampling techniques used in civil engineering applications.

Problem 1: Variable Classification (Basic)

Classify the following variables by type (Quantitative or Qualitative) and level of measurement:

  1. The compressive strength of a concrete cylinder (in psi\text{psi}).
  2. The type of defect in a welded joint (porosity, crack, undercut).
  3. The rating of a bridge on a scale of 11 to 1010.
  4. The year a building was constructed.

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Problem 2: Discrete vs Continuous Variables (Basic)

Determine whether the following data collected by a civil engineer are discrete or continuous variables:

  1. The number of potholes on a 10 km10 \text{ km} stretch of highway.
  2. The exact volume of water in a reservoir.
  3. The number of rebar pieces used in a concrete slab.
  4. The weight of a truck passing a weigh station.

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Problem 3: Population vs Sample (Conceptual)

A traffic engineer wants to determine the average speed of all vehicles crossing a specific bridge over the course of a year. Because measuring every single vehicle is not feasible, the engineer records the speed of 500500 vehicles over a one-week period. Identify the population and the sample in this scenario.

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Problem 4: Descriptive vs Inferential Statistics (Conceptual)

Determine whether each of the following statements represents descriptive or inferential statistics:

  1. "The average compressive strength of the 3030 tested concrete cylinders is 4500 psi4500 \text{ psi}."
  2. "Based on the test results of 3030 cylinders, the entire batch of 10,000 m310,000 \text{ m}^3 of concrete is expected to meet the minimum strength requirement of 4000 psi4000 \text{ psi} with 95%95\% confidence."

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Problem 5: Simple Random Sampling (Intermediate)

A contractor receives a delivery of 800800 steel beams. To verify quality, 1515 beams will be selected for destructive testing. Determine the probability of any individual beam being selected, and describe how a simple random sample can be achieved.

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Problem 6: Systematic Sampling (Intermediate)

A civil engineering firm wants to study traffic volume on a highway. They decide to measure the number of cars passing a specific point every 15 minutes15 \text{ minutes}, starting exactly at 8:00 AM8:00 \text{ AM} and ending at 4:00 PM4:00 \text{ PM} (inclusive). Identify the sampling technique and calculate the total number of samples taken during this 88-hour period.

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Problem 7: Stratified Sampling (Advanced Case Study)

A geotechnical engineer must sample soil from a 50,000 m250,000 \text{ m}^2 site. The site has three distinct geological zones: Zone A covers 20,000 m220,000 \text{ m}^2, Zone B covers 20,000 m220,000 \text{ m}^2, and Zone C covers 10,000 m210,000 \text{ m}^2. The engineer plans to take 5050 total samples. Determine the number of samples that should be taken from each zone to achieve a proportionally stratified sample.

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Problem 8: Sampling Bias (Advanced Case Study)

A construction company evaluates the quality of a delivery of 500500 rebars. An inspector arrives and selects the 1010 rebars closest to the entrance of the storage yard for tensile testing. All 1010 rebars pass, so the inspector approves the entire batch. Identify the sampling method, explain the potential bias, and mathematically demonstrate the consequence if the first 1010 rebars are from a good batch but 20%20\% of the remaining population is defective.

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