From generation to generation, the mean age when smokers first start to smoke varies. However, the standard deviation of that age remains constant at around 2.1 years. A survey of 42 smokers of this generation was done to see if the mean starting age is at least 19. The sample mean was 18.2 with a sample standard deviation of 1.3. Do the data support the claim at the 5% level?Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (d)State the distribution to use for the test. (Round your answers to four decimal places.)X -N V]× )18.242O Part (e)What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.)O Part (f)What is the p-value? (Round your answer to four decimal places.)Explain what the p-value means for this problem.O If H, is true, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is not 18.2 years or less.O If H, is true, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is 18.2 years or less.O If Ho is false, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is not 18.2 years or less.O If Ho is false, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is 18.2 years or less.Correct! A p-value is the probability that an outcome of the data will happen purely by chance when Ho is true.

Given information Sample mean = 18.2 Hypothesized mean = 19 Population standard deviation = 2.1…

Answered: From generation to generation, the mean…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

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From generation to generation, the mean age when smokers first start to smoke varies. However, the standard deviation of that age remains constant at around 2.1 years. A survey of 42 smokers of this generation was done to see if the mean starting age is at least 19. The sample mean was 18.2 with a sample standard deviation of 1.3. Do the data support the claim at the 5% level?

Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)

O Part (d)
State the distribution to use for the test. (Round your answers to four decimal places.)
X -N V
]× )
18.2
42
O Part (e)
What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.)
O Part (f)
What is the p-value? (Round your answer to four decimal places.)
Explain what the p-value means for this problem.
O If H, is true, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is not 18.2 years or less.
O If H, is true, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is 18.2 years or less.
O If Ho is false, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is not 18.2 years or less.
O If Ho is false, then there is a chance equal to the p-value that the average age of people when they first begin to smoke is 18.2 years or less.
Correct! A p-value is the probability that an outcome of the data will happen purely by chance when Ho is true.

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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