Question 9Suppose the age that children learn to walk is normally distributed with mean 12 months and standard deviation 2.2 month. 32 randomly selected people were asked what age they learned to walk. Round all answers to 4 decimal places where possible.What is the probability that one randomly selected person learned to walk when the person was between 11.6 and 12.5 months old? For the 32 people, find the probability that the average age that they learned to walk is between 11.6 and 12.5 months old. Find the IQR for the average first time walking age for groups of 32 people.Q1 = monthsQ3 = monthsIQR: months

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Answered: Question 9 Suppose the age that…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 26PFA

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Question 9

Suppose the age that children learn to walk is normally distributed with mean 12 months and standard deviation 2.2 month. 32 randomly selected people were asked what age they learned to walk. Round all answers to 4 decimal places where possible.

What is the probability that one randomly selected person learned to walk when the person was between 11.6 and 12.5 months old?
For the 32 people, find the probability that the average age that they learned to walk is between 11.6 and 12.5 months old.
Find the IQR for the average first time walking age for groups of 32 people.
Q1 =  months
Q3 =  months
IQR:  months

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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