The age distribution of a sample of 5000 people is bell-shaped with a mean of 40 years and a standard deviation of 12 years. Determine the approximate percentage of people who are 16 to 64 years old. Determine the approximate percentage of people who are younger than 8 years old.
Added by Nina V.
Close
Step 1
We are given a bell-shaped distribution (normal distribution) with a mean (µ) of 40 and a standard deviation (σ) of 10 years. Show more…
Show all steps
Your feedback will help us improve your experience
Adi S and 88 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Assume that the population for Age is normally distributed, even if the sample is not. Use the ATUS sample variable Age. What is the probability that any person in the sample is 65 years old or older? Type your answer as a probability or as a percentage (without the % sign). To calculate this, we first need to calculate the mean and standard deviation for the Age variable. Mean = 38.2 Standard Deviation = 18.1
Lien L.
The population of current statistics students has ages with mean ? and standard deviation ? . Samples of statistics students are randomly selected so that there are exactly 40 students in each sample. For each sample, the mean age is computed. What does the central limit theorem tell us about the distribution of those mean ages?
Normal Probability Distribution
The Central Limit Theorem
The age of patients in an adult care facility averages 75 years and has a standard deviation of five years. Assume that the distribution of age is bell-shaped symmetric. Find the maximum age of the youngest 2.5% patients. 80 years 65 years 85 years 70 years
Robin C.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD