Carboxyhemoglobin is formed when hemoglobin is exposed to carbon monoxide. Heavy smokers tend to have a high percentage of carboxyhemoglobin in their blood. Let x be a random variable representing percentage of carboxyhemoglobin in the blood. For a person who is a regular heavy smoker, x has a distribution that is approximately normal. A random sample of n = 12 blood tests given to a heavy smoker gave the following results (percentage of carboxyhemoglobin in the blood):

(b) A long-term population mean μ = 10% is considered a health risk. However, a long-term population mean above 10% is considered a clinical alert that the person may be asymptomatic. Do the data indicate that the population mean percentage is higher than 10% for this patient? Use α = 0.05.
(c) Use the given data to find a 99% confidence interval for μ for this patient.
Use the following steps (i)€“(v) for all hypothesis tests:
(i) What is the level of significance? State the null and alternate hypotheses.
(ii) Requirements What sampling distribution will you use? What assumptions are you making? What is the value of the sample test statistic?
(iii) Find (or estimate) the P-value. Sketch the sampling distribution and show the area corresponding to the P-value
(iv) Based on your answers in parts (i)€“(iii), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
(v) Your conclusion in the context of the application.

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