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STA 2023. Section 6.1 Confidence Intervals for the Mean (Large Samples). Estimating Population Parameters. Critical Values. Margin of Error. Example 2: A random sample of 120 students has a test score average with a standard deviation of 9.2. Find the margin of error if c = 0.98. - PowerPoint PPT PresentationTRANSCRIPT
STA 2023Section 6.1Confidence Intervals for the Mean (Large Samples)
Estimating Population Parameters
Critical Values
Margin of Error
Example 2: A random sample of 120 students has a test score average with a standard deviation of 9.2. Find the margin of error if c = 0.98. Answer: 1.96
Example 3: A random sample of 40 students has a mean annual earnings of $3120 and a standard deviation of $677. Find the margin of error if c = 0.95. Answer: $210
Confidence Intervals for the Population Mean
Example 4: A random sample of 150 students has a grade point average with a mean of 2.86 and with a standard deviation of 0.78. Construct the confidence interval for the population mean, μ, if c = 0.98. Answer: (2.71, 3.01) Interpretation: We are 98% confident that the
population grade point average is between 2.71 and 3.01.
Example 5: In a sample of 10 randomly selected women, it was found that their mean height was 63.4 inches. From previous studies, it is assumed that the standard deviation σ is 2.4 and that the population of height measurements is normally distributed. Construct the 95% confidence interval for the population mean. Answer: (61.9, 64.9) Interpretation: With 95% confidence, the average height
of all women is between, 61.9 inches and 64.9 inches.
Example 6: The number of wins in a season for 32 randomly selected professional football teams are listed below. Construct a 90% confidence interval for the true mean number of wins in a season.
9 9 9 8 10 9 7 211 10 6 4 11 9 8 812 10 7 5 12 6 4 312 9 9 7 10 7 7 5
Answer: (7.2, 8.8)
Minimum Sample Size.