Math Problem Statement
The lifespans of lizards in a particular zoo are normally distributed. The average lizard lives [3.1] years; the standard deviation is [0.6] years. Use the empirical rule [(68-95-99.7%)] to estimate the probability of a lizard living less than [2.5] years.
Solution
To estimate the probability of a lizard living less than years using the empirical rule (also known as the 68-95-99.7 rule), we need to understand how many standard deviations years is away from the mean.
Step 1: Calculate how far years is from the mean in terms of standard deviations.
The mean lifespan () of the lizards is years, and the standard deviation () is years. We compute the z-score to find how many standard deviations below the mean the value is:
So, years is 1 standard deviation below the mean.
Step 2: Use the empirical rule.
According to the empirical rule:
- 68% of the data lies within 1 standard deviation of the mean, which means between and years (since and ).
- This implies that 68% of the lizards live between 2.5 and 3.7 years.
- Since the normal distribution is symmetric, half of this 68% (i.e., 34%) is between the mean () and years.
Step 3: Calculate the probability of a lizard living less than 2.5 years.
The empirical rule also tells us that 68% of the data is within 1 standard deviation (between and ), so:
- of the lizards live below the mean.
- Subtracting the that live between and years, the remaining portion living less than years is:
Therefore, the probability that a lizard lives less than years is approximately 16%.
Would you like more details on the empirical rule or how this probability was derived?
Here are some follow-up questions to explore further:
- What is the probability of a lizard living between 2.5 and 3.7 years?
- How can you calculate the probability of a lizard living more than 4.3 years using the empirical rule?
- What does it mean when a distribution is "normally distributed"?
- How would you calculate the z-score for a lizard that lives 4 years?
- What percentage of lizards live between 2.5 and 4.3 years?
Tip: The empirical rule is a quick way to estimate probabilities, but for more precision, using z-scores with a normal distribution table is recommended.
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Math Problem Analysis
Mathematical Concepts
Statistics
Normal Distribution
Empirical Rule
Z-score
Formulas
z = (X - μ) / σ
Empirical Rule (68-95-99.7%)
Theorems
Empirical Rule
Suitable Grade Level
Grades 10-12
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