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yes, it is likely that the mean height of all students is 68 inches.
according to central limit theorem, for sample size greater than 30, sampling distribution has mean equal to population mean.
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1. A sample is taken to estimate the mean height of seniors at Hill Valley High...
You want to estimate the mean SATM score for 250,000 high school seniors in California. Only abou...
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 a...
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...
Achievement test scores of all high school seniors in a state have mean 60 and variance...
Achievement test scores of all high school seniors in a state have mean 60 and variance 64. A random sample of n = 100 students from one large high school had a mean score of 58. Is there evidence to suggest that this high school is inferior? (Calculate the probability that the sample mean is at most 58 when n = 100.) Show the appropriate graph of the sample mean.
An SRS of 380 high school seniors gained an average of ?¯=20.23 points in their second...
An SRS of 380 high school seniors gained an average of ?¯=20.23 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation σ=47.28. We want to estimate the mean change in score ?μ in the population of all high school seniors. (a) Using the 68 – 95 – 99.7 Rule or the ?-table (Table A), give a 95% confidence interval (?,?) for ? based on this sample....
1. Suppose the scores for high school seniors on the verbal portion of the SAT test...
1. Suppose the scores for high school seniors on the verbal portion of the SAT test have a population mean of 509 and a population standard deviation of 112. a. List the population and the variable. b. What do you know about the population distribution of SAT scores for high school seniors? (i.e. shape, center, spread) c. Suppose we randomly select 56 high school seniors from this population. What would you expect the shape, mean and standard deviation of the...
In a sample of 13 randomly selected high school seniors, the mean score on a standardized...
In a sample of 13 randomly selected high school seniors, the mean score on a standardized test was 1199 and the standard deviation was 166.0. Further research suggests that the population mean score on this test for high school seniors is 1017. Does the t-value for the original sample fall between -toos and boos? Assume that the population of test scores for high school seniors is normally distributed The t-value oft- fall between -0.99 and long because (Round to two...
An SRS of 380 high school seniors gained an average of.... An SRS of 380 high...
An SRS of 380 high school seniors gained an average of....
An SRS of 380 high school seniors gained an average of -23.11 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation σ = 48.85. We want to estimate the mean change in score μ in the population of all high school seniors. (a) Using the 68-95-99.7 Rule or the z-table (Table A), give a 99.7%...
1. A college admissions director wishes to estimate the mean age of all students currently enrolled....
1. A college admissions director wishes to estimate the mean age of all students currently enrolled. In a random sample of 81 students, the mean age is found to be 20.51 years. From past studies, the standard deviation of the population is known to be 2 years, and the population is normally distributed. Construct a 99% confidence interval of the population mean age. (10 p) (Round off final answers to two decimal places, if appropriate. Do not round off numbers...
1/ The height of high school basketball players is known to be normally distributed with a...
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.
An SRS of 380 high school seniors gained an average of i -23.51 points in their...
An SRS of 380 high school seniors gained an average of i -23.51 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation σ 48.51, we want to estimate the mean change in score u in the population of all high school seniors. (a) Using the 68-95-99.7 Rule or the z-table (Table A), give a 95% confidence interval (a, b) for based on this sample. Enter your...
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...
In a sample of 13 randomly selected high school seniors, the mean score on a standardized test was 1199 and the standard deviation was 166.0. Further research suggests that the population mean score on this test for high school seniors is 1017. Does the t-value for the original sample fall between -toos and boos? Assume that the population of test scores for high school seniors is normally distributed The t-value oft- fall between -0.99 and long because (Round to two...
An SRS of 380 high school seniors gained an average of....
An SRS of 380 high school seniors gained an average of -23.11 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation σ = 48.85. We want to estimate the mean change in score μ in the population of all high school seniors. (a) Using the 68-95-99.7 Rule or the z-table (Table A), give a 99.7%...
An SRS of 380 high school seniors gained an average of i -23.51 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation σ 48.51, we want to estimate the mean change in score u in the population of all high school seniors. (a) Using the 68-95-99.7 Rule or the z-table (Table A), give a 95% confidence interval (a, b) for based on this sample. Enter your...
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