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Confidence Intervals for the Mean (Small Samples) Larson/Farber 4th ed 1 Interpret the t-distribution and use a tdistribution table Construct confidence intervals when n < 30, the population is normally distributed, and σ is unknown Larson/Farber 4th ed 2 When the population standard deviation is unknown, the sample size is less than 30, and the random variable x is approximately normally distributed, it follows a tdistribution. x - t s n Critical values of t are denoted by tc. Larson/Farber 4th ed 3 The t-distribution is bell shaped and symmetric about the mean. The t-distribution is a family of curves, each determined by a parameter called the degrees of freedom. The degrees of freedom are the number of free choices left after a sample statistic such as is x calculated. When you use a t-distribution to estimate a population mean, the degrees of freedom are equal to one less than the sample size. 1. 2. • d.f. = n – 1 Degrees of freedom Larson/Farber 4th ed 4 3. The total area under a t-curve is 1 or 100%. 4. The mean, median, and mode of the t-distribution are equal to zero. 5. As the degrees of freedom increase, the t-distribution approaches the normal distribution. After 30 d.f., the tdistribution is very close to the standard normal zdistribution. The tails in the tdistribution are “thicker” than those in the standard normal distribution. d.f. = 2 d.f. = 5 Standard normal curve t 0 Larson/Farber 4th ed 5 Find the critical value tc for a 95% confidence when the sample size is 15. Solution: d.f. = n – 1 = 15 – 1 = 14 Table 5: t-Distribution tc = 2.145 Larson/Farber 4th ed 6 95% of the area under the t-distribution curve with 14 degrees of freedom lies between t = +2.145. c = 0.95 t -tc = -2.145 tc = 2.145 Larson/Farber 4th ed 7 A c-confidence interval for the s x E x mean E where population μ E tc n The probability that the confidence interval contains μ is c. Larson/Farber 4th ed 8 In Words In Symbols x (x x )2 x s n 1 n 1. Identify the sample statistics n, x , and s. 2. Identify the degrees of freedom, the level of confidence c, and the critical value tc. 3. Find the margin of error E. Larson/Farber 4th ed d.f. = n – 1 E tc s n 9 In Words In Symbols 4. Find the left and right endpoints and form the confidence interval. Larson/Farber 4th ed Left endpoint: x E Right endpoint: x E Interval: xE xE 10 You randomly select 16 coffee shops and measure the temperature of the coffee sold at each. The sample mean temperature is 162.0ºF with a sample standard deviation of 10.0ºF. Find the 95% confidence interval for the mean Solution: temperature. Assume the temperatures are Use the t-distribution (n < 30, σ is unknown, approximately normally distributed. temperatures are approximately distributed.) Larson/Farber 4th ed 11 n =16, x = 162.0 s = 10.0 c = 0.95 df = n – 1 = 16 – 1 = 15 Critical Value Table 5: t-Distribution tc = 2.131 Larson/Farber 4th ed 12 Margin of error: Confidence interval: s E tc n 10 2.131 5.3 16 Left Endpoint: xE 162 5.3 156.7 Right xE Endpoint: 162 5.3 167.3 156.7 < μ < 167.3 Larson/Farber 4th ed 13 156.7 < μ < 167.3 156.7 ( x E Point 162.0 estimate •x 167.3 ) xE With 95% confidence, you can say that the mean temperature of coffee sold is between 156.7ºF and 167.3ºF. Larson/Farber 4th ed 14 Is n 30? Yes No Is the population normally, or approximately normally, distributed? Use the normal distribution with σ E zc n If is unknown, use s instead. No Cannot use the normal distribution or the t-distribution. Yes Use the normal distribution with E z σ Yes Is known? No c n Use the t-distribution with E tc s n and n – 1 degrees of freedom. Larson/Farber 4th ed 15 You randomly select 25 newly constructed houses. The sample mean construction cost is $181,000 and the population standard deviation is $28,000. Assuming construction costs are normally distributed, should you use the normal distribution, the t-distribution, or neither to construct a 95% confidence interval for the population mean construction cost? Solution: Use the normal distribution (the population is normally distributed and the population standard deviation is known) Larson/Farber 4th ed 16 Interpreted the t-distribution and used a t-distribution table Constructed confidence intervals when n < 30, the population is normally distributed, and σ is unknown Larson/Farber 4th ed 17