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Learn how to construct confidence intervals for the population mean using large and small samples, and explore the concepts of point estimate, interval estimate, level of confidence, and critical values.
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CHAPTER SIX Confidence Intervals
Section 6.1 Confidence Intervals for the MEAN (Large Samples)
Estimating Vocab • Point Estimate: a single value estimate for a population parameter. • Interval Estimate: a range of values used to estimate a population parameter. • Level of Confidence (c): the probability that the interval estimate contains the population parameter • The level of confidence, c, is the area under the curve between 2 z-scores called Critical Values
Find the critical value zc necessary to construct a confidence interval at the given level of confidence. C = 0.85 C = 0.75
Find the margin of error for the given values. • C = 0.90 s = 2.9 n = 50 • C = 0.975 s = 4.6 n = 100
Construct a C.I. for the Mean • 1. Find the sample mean and sample size. • 2. Specify σ if known. Otherwise, if n > 30 , find the sample standard deviation s. • 3. Find the critical value zc that corresponds with the given level of confidence. • 4. Find the margin of error, E. • 5. Find the left and right endpoints and form the confidence interval.
Construct the indicated confidence interval for the population mean.
44. A random sample of 55 standard hotel rooms in the Philadelphia, PA area has a mean nightly cost of $154.17 and a standard deviation of $38.60. Construct a 99% confidence interval for the population mean. Interpret the results. • 46. Repeat Exercise 44, using a standard deviation of s = $42.50. Which confidence interval is wider? Explain.
Example from p 308 • 54. A soccer ball manufacturer wants to estimate the mean circumference of mini-soccer balls within 0.15 inch. Assume the population of circumferences is normally distributed. • A) Determine the minimum sample size required to construct a 90% C.I. for the population mean. Assume σ = 0.20 inch. • B) Repeat part (A) using σ = 0.10 inch. • C) Which standard deviation requires a larger sample size? Explain.
Section 6.2 Confidence Intervals for the MEAN (Small Samples)
The t – Distribution (table #5) • Used when the sample size n < 30 , the population is normally distributed, and σ is unknown. • t – Distribution is a family of curves. • Bell shaped, symmetric about the mean. • Total area under the t - curve is 1 • Mean, median, mode are equal to 0
Uses Degrees of Freedom (d.f. =n–1) • d. f. are the # of free choices after a the sample mean is calculated. • To find the critical value, tc , use the t table. • Find the critical value, tc for c = 0.98, n = 20 • Find the critical value, tc for c = 0.95, n = 12
Confidence Intervals and t - Distributions • 1. Find the sample mean, standard deviation, and sample size. • 2. ID the degrees of freedom, level of confidence and the critical value. • 3. Find the margin of error, E. • 4. Find the left and right endpoints and for the confidence interval.
Use a Normal or a t – Distribution to construct a 95% C.I. for the population mean. (from page 317) • 36. In a random sample of 13 people, the mean length of stay at a hospital was 6.2 days. Assume the population standard deviation is 1.7 days and the lengths of stay are normally distributed.
Find the sample mean and standard deviation, the construct a 99% C.I. for the population mean. (from p 316) • 28. The weekly time spent (in hours) on homework for 18 randomly selected high school students: 12.0 11.3 13.5 11.7 12.0 13.0 15.5 10.8 12.5 12.3 14.0 9.5 8.8 10.0 12.8 15.0 11.8 13.0