Analyzing Baby Crawling Age Data

Oct 17, 2024

Lecture Notes: Confidence Interval and Point Estimate for Baby Crawling Age

Overview

  • Objective: Analyze data on the age (in weeks) when babies first crawl based on a survey of 12 mothers.
  • Assumption: The data follows a normal distribution, allowing the calculation of confidence intervals.

Key Concepts

Point Estimate

  • Task: Determine the point estimate for the mean age at which babies first crawl.
  • Method: Calculate the sample mean ((\bar{x})).
    • Process:
      • Use a calculator: Enter data into a statistics calculator, utilize the one bar stat function.
      • Results:
        • Sample mean ((\bar{x})) = 38.25 weeks
        • Sample standard deviation (s) = 10.001 weeks
        • Number of data points (n) = 12

Margin of Error

  • Task: Find the margin of error for a 90% confidence interval.
  • Definitions:
    • Confidence Level: 90%
    • Tail Probability: 0.05 (each tail)
    • Degrees of Freedom (df): n-1 = 11
  • Critical Value:
    • From statistical tables, critical value = 1.796
  • Margin of Error Calculation:
    • Formula: (\text{Margin of Error} = \text{Critical Value} \times \frac{s}{\sqrt{n}})
    • Calculation yields approximately 5.18 weeks

Confidence Interval

  • Task: Construct and interpret a 90% confidence interval for the true mean age.
  • Confidence Interval Calculation:
    • Lower Bound = (\bar{x} - \text{Margin of Error} = 38.25 - 5.18 = 33.065) weeks
    • Upper Bound = (\bar{x} + \text{Margin of Error} = 38.25 + 5.18 = 43.435) weeks
  • Interpretation:
    • We are 90% confident that the true mean age at which babies first crawl is between 33.065 weeks and 43.435 weeks.
  • Units: All measurements are in weeks.