Answered: The mean age when smokers first start…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question 24: The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS—electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 35 smokers found that their mean starting age was 12.3 years old. Do the data support the claim at the 5% significance level?

What are the correct hypotheses?

H₀: years

H₁: years

Based on the hypotheses, find the following:

Test Statistic z = (Give answer to at least 4 decimal places)

p-value = (Give answer to at least 4 decimal places)

Based on the above we choose to

The correct summary would be: that the claim that the mean age smokers first start is different than 13.

The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A
researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic
nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has
changed. The sample of 35 smokers found that their mean starting age was 12.3 years old. Do the data
support the claim at the 5% significance level?
What are the correct hypotheses?
Ho: Select an answer ✓ ? ✓
years
H₁: Select an answer
years
Based on the hypotheses, find the following:
Test Statistic z =
(Give answer to at least 4 decimal places)
p-value
Based on the above we choose to Select an answer
that the claim that the
The correct summary would be: Select an answer
mean age smokers first start is different than 13.
(Give answer to at least 4 decimal places)

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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