The winning team's scores in 7 high school basketball games were recorded. If the sample mean is 10.0 points and the sample standard deviation is 0.15 points, find the 98% confidence interval of the true mean
The winning team's scores in 7 high school basketball games were recorded. If the sample mean...
A study of peach trees showed that the average number of peaches per tree was 2000. The standard deviation of the population is 200. A scientist wishes to find the 99% confidence interval for the mean number of peaches per tree. How many trees does she need to sample to be accurate within 16 peaches per tree? a.) The winning team’s scores in 11 high school basketball games were recorded. If the sample mean is 10.5 points and the sample...
The average number of points scored per team in Oregon high school basketball games is μ = 86 with a standard deviation of σ = 7 points. Coach Tom thinks that Portland teams score more than average. Coach Tom randomly chooses 30 Portland games and finds a sample mean of x = 90 points. Does this provide sufficient evidence to claim that the population mean of points scored by Portland high school basketball teams is higher than the average of...
1/ The height of high school basketball players is known to be normally distributed with a standard deviation of 1.75 inches. In a random sample of eight high school basketball players, the heights (in inches) are recorded as 75, 82, 68, 74, 78, 70, 77, and 76. Construct a 95% confidence interval on the average height of all high school basketball players.
In a simple random sample of 64 households, the sample mean number of personal computers was 1.17. Assume the population standard deviation is σ = 0.23. 19) Why can we say the sampling distribution of the sample mean number of personal computers is approximately normal? 20) Construct a 98% confidence interval for the mean number of personal computers. Interpret this interval. 21) The population standard deviation for the height of high school basketball players is three inches. If we want...
High School and Beyond, Part II: We considered the differences between the reading and writing scores of a random sample of 200 students who took the high school and beyond survey in exercise 5.3. The mean and standard deviation of the differences are is = -0.545 and 8,887 points. a) Calculate a 95% confidence interval for the average difference between the reading and writing scores of all students. b) Interpret this interval in context. c) Does the confidence interval provide...
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6) A random sample of high school girls were asked how many hours per week they use social media. The sample mean of the 25 girls was 9 with standard deviation 2.7. What is the 90% confidence interval for the true mean for the hours per week high school girls use social media? Assume the population is normally distributed. 7) A random sample of 40 men were asked how if they enjoyed...
You want to estimate the mean SATM score for 250,000 high school seniors in California. Only about 45% of California students take the SAT. These self-selected students are planning to attend college and are not representative of all California seniors. A simple random sample (SRS) of 500 California high school seniors is tested. The mean score of the sample is Y = 461 What could you say about the mean score, η = 508 in the population of all 250,000...
4. You want to estimate the mean SATM score for 250,000 high school seniors in California. Only about 45% of California students take the SAT. These self-selected students are planning to attend college and are not representative of all California seniors A simple random sample (SRS) of 500 California high school seniors is tested. The mean score of the sample is Y 461. What could you say about the mean score, n-508 in the population of all 250,000 seniors? Assume...
A basketball fan is interested in estimating the true average number of points scored in men’s NCAA basketball games. She has randomly sampled 150 games and has determined that the sample mean is 118 and the population standard deviation is 29. What interval did she get when calculating the 92% confidence interval for the true mean?
A simple random sample of 90 games from the 2015-2016 NHL season were selected. The mean and standard deviation of goals scored per game for those 90 games were 5.423 and 1.739, respectively. Find a 95% confidence interval for the mean goals scored in NHL hockey games during the 2015-2016 season. Give the lower limit of the confidence interval you found. Round to three decimal places.