Purchase Solution

How to find confidence interval and perfrom one tailed t tes

Not what you're looking for?

Ask Custom Question

Let x be a random variable representing percetage 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 test given to a heavy smoker gave the following results:

9.1 9.5 10.2 9.8 11.3 12.2
11.6 10.3 8.9 9.7 13.4 9.9

a) Use a calculator to verify that x?10.49 and s?1.36

b) A long term population mean ? = 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 ? = 0.05

c) Use the given data to find a 99% confidence interval for ? for this patient.

Purchase this Solution

Solution Summary

The solution provides detailed explanation how to find confidence interval and perform one tailed t test.

Solution Preview

a) I verified the mean and standard deviation with the calculator.

b) Null hypothesis: the population mean percentage is smaller or equal to 10%.
Alternative hypothesis: the population mean ...

Purchase this Solution


Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.