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Height data, collected from a statistics class, has a mean, X = 68.21 inches, and a...
The New York City school board wants to estimate the mean size μ of AP statistics classes in New York City high schools. The board obtained the following random sample of AP statistics class sizes: 24 29 29 23 25 24 33 26 24 29 27 26 22 32 24 21 19 29 31 26 29 31 16 Question 1. Use the data above to construct a 99% confidence interval for the mean class size μ. (calculate y and s...
7. A 99% confidence interval (in inches) for the mean height of a population is 65.89 <u< 67.51. This result is based on a sample of size 144. If the confidence interval 66.11<u<67.29 is obtained from the same sample data, what is the degree of confidence?
The New York City school board wants to estimate the mean size μ of AP statistics classes in New York City high schools. The board obtained the following random sample of AP statistics class sizes: 24 29 29 23 25 24 33 26 24 29 27 26 22 32 24 21 19 29 31 26 29 31 16 Question 1a. Use the data above to construct a 90% confidence interval for the mean class size μ. (calculate y and s...
A random sample of 16 men have a mean height of 67.5 inches and a standard deviation of 1.8 inches. Construct a 99% confidence interval for the population standard deviation,σ.
z-Tests According to the CDC the average height of 15-year-old boys is 67 inches, with a standard deviation of 3.19 inches. A high school teacher believes the male students in his classes are especially tall this year. The teacher averages the heights of a random sample of the male students in his classes throughout the day (N 57) and find an average of 68.1 inches. 1. Use a two-tailed hypothesis (z) test with alpha0.01 to determine if there is any...
Students in an introductory statistics class were asked to report the age of their mothers when they were born. Summary statistics include Sample size: 28 students Sample mean: 29.643 years Sample standard deviation: 4.564 years a. Calculate the standard error of this sample mean. b. Determine and interpret a 90% confidence interval for the mother’s mean age (at student’s birth) in the population of all students at this university. c. How would a 99% confidence interval compare to the 90%...
Students in an introductory statistics class were asked to report the age of their mothers when they were born. Summary statistics include Sample size: 28 students Sample mean: 29.643 years Sample standard deviation: 4.564 years a. Calculate the standard error of this sample mean. b. Determine and interpret a 90% confidence interval for the mother’s mean age (at student’s birth) in the population of all students at this university. c. How would a 99% confidence interval compare to the 90%...
A random sample of college basketball players had an average height of 63.45 inches. Based on this sample, (62.1, 64.8) found to be a 98% confidence interval for the population mean height of college basketball players. Select the correct answer to interpret this interval. We are 98% confident that the population mean height of college basketball players is between 62.1 and 64.8 inches. There is a 98% chance that the population mean height of college basketball players is between 62.1...
From a random sample of 66 students in an introductory finance class that uses group-learning techniques, the mean examination score was found to be 79.79 and the sample standard deviation was 2.7. For an independent random sample of 99 students in another introductory finance class that does not use group-learning techniques, the sample mean and standard deviation of exam scores were 72.14 and 8.8 respectively. Estimate with 90% confidence the difference between the two population mean scores; do not assume...
John was studying how far the UMN students travelled to take the class on campus. Let W be the distance travelled (measured in miles). A sample of size 25 was collected. He calculated the following statistics: W 3.8 Please calculate the 90% Confidence Interval for μ , the mean distance traveled by UMN students to come to campus. Suppose that the sample size 25 is NOT large enough for normal approximation (Hint: use t distribution). Note: You only need to...