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 39 smokers of this generation was done to see if the mean starting age is at least 19. The sample mean was 18.1 with a sample standard deviation of 1.3. Do the data support the claim at the 5% level?
1. State the distribution to use for the test. (Round your answers to four decimal places.)
2. 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.) z=
3.What is the p-value? (Round your answer to four decimal places.)
p=
Explain what the p-value means for this problem.
a. If H0 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 18.1 years or less.
b. If H0 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 18.1 years or less.
c.If H0 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 18.1 years or less.
d. If H0 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 18.1 years or less.
4. Sketch a picture of this situation. Label and scale the horizontal axis and shade the region(s) corresponding to the p-value.
5. Indicate the correct decision ("reject" or "do not reject" the null hypothesis), the reason for it, and write an appropriate conclusion.
(i) Alpha (Enter an exact number as an integer, fraction, or
decimal.)
α =
(ii) Decision:
a.reject the null hypothesis
b. do not reject the null hypothesis
(iii) Reason for decision:
a.Since α < p-value, we do not reject the null hypothesis
b.Since α < p-value, we reject the null hypothesis.
c.Since α > p-value, we reject the null hypothesis.
d.Since α > p-value, we do not reject the null hypothesis.
6. Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your lower and upper bounds to two decimal places.)
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