Activity 15

MATH 216: Statistical Thinking

Exponential Distribution: Waiting Time Analysis

Time Allocation: 15 minutes total (5 min reading, 10 min individual work)

Part 1: Conceptual Understanding (3 minutes)

Instructions: Answer the following questions about exponential distributions:

  1. What does the memoryless property mean in the context of waiting times?
  1. Why is the exponential distribution particularly suited for modeling waiting times between random events?
  1. How does the parameter θ relate to both the mean and standard deviation of an exponential distribution?

Part 2: Basic Probability Calculations (4 minutes)

Instructions: Calculate the following probabilities for an exponential distribution with θ = 2:

  • \(P(X > 3)\) =

  • \(P(X \leq 1)\) =

  • \(P(1 < X < 4)\) =

Show your work for at least two calculations:

Part 3: Real-World Applications (8 minutes)

Case 1: Battery Reliability Analysis

Scenario: A company is testing a new battery with an expected lifetime modeled by an exponential distribution with \(\theta = 5\) years. The company wants to offer a warranty period such that only 10% of the batteries fail within the warranty period.

Calculate:

  • Warranty period for 90% reliability: years
  • Probability battery lasts more than 8 years:
  • Median battery lifetime: years

Critical Thinking: What are the business implications of choosing this warranty period?

Case 2: Emergency Room Planning

Scenario: The length of time (in hours) between emergency arrivals at a hospital is modeled as an exponential distribution with \(\theta = 2\) hours.

Calculate:

  • Probability of more than 5 hours between arrivals:
  • Time by which 75% of arrivals occur: hours
  • Probability of arrival within 30 minutes:

Staffing Decision: Based on these probabilities, would you recommend having staff on standby? Why?

Case 3: Quality Control and Warranties

Scenario: A microwave manufacturer tests magnetron tubes with exponential lifetime distribution (\(\theta = 6.25\) years).

Calculate:

  • Mean lifetime: years
  • Standard deviation: years
  • Fraction failing in 5-year warranty:
  • Warranty for 27.5% failure rate: years

Business Strategy: What warranty period would you recommend and why?

Interactive R Analysis (Optional)