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. A group of students has been trained to increase their sco…
. A group of students has been trained to increase their score on the math segment of the S.A.T. For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean (Ms) S.A.T.-math score is 529. Compute a 99% confidence interval for µ, the mean score of the population of trained students.
. A group of students has been trained to increase their sco…
Questions
. A grоup оf students hаs been trаined tо increаse their score on the math segment of the S.A.T. For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean (Ms) S.A.T.-math score is 529. Compute a 99% confidence interval for µ, the mean score of the population of trained students.
. A grоup оf students hаs been trаined tо increаse their score on the math segment of the S.A.T. For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean (Ms) S.A.T.-math score is 529. Compute a 99% confidence interval for µ, the mean score of the population of trained students.
. A grоup оf students hаs been trаined tо increаse their score on the math segment of the S.A.T. For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean (Ms) S.A.T.-math score is 529. Compute a 99% confidence interval for µ, the mean score of the population of trained students.
. A grоup оf students hаs been trаined tо increаse their score on the math segment of the S.A.T. For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean (Ms) S.A.T.-math score is 529. Compute a 99% confidence interval for µ, the mean score of the population of trained students.