Introduction to Statistics, Lecture 5
... Definition 3.30 - the critical values of the t-test: The (1 − α)100% critical values for the (non-directional) one-sample t-test are the (α/2)100% and (1 − α/2)100% quantiles of the t-distribution with n − 1 degrees of freedom: ...
... Definition 3.30 - the critical values of the t-test: The (1 − α)100% critical values for the (non-directional) one-sample t-test are the (α/2)100% and (1 − α/2)100% quantiles of the t-distribution with n − 1 degrees of freedom: ...
Sampling and estimation
... In this simulation, the population is drawn randomly from a uniform distribution. When the sample size (n) increases, the sample mean tends towards a normal distribution. This is an application of the central limit theorem. On the histograms of the previous slide, the distribution of the sample mean ...
... In this simulation, the population is drawn randomly from a uniform distribution. When the sample size (n) increases, the sample mean tends towards a normal distribution. This is an application of the central limit theorem. On the histograms of the previous slide, the distribution of the sample mean ...
Preliminary Practice Exam for BST621
... ANOVA tells us that there is a significant difference somewhere among the means, but doesn’t tell us where it is. 25) ___ Post hoc comparison procedures are performed prior to doing one-way ANOVA in order to identify likely sources of significance. 26) ___ Within-group variance is caused by sampling ...
... ANOVA tells us that there is a significant difference somewhere among the means, but doesn’t tell us where it is. 25) ___ Post hoc comparison procedures are performed prior to doing one-way ANOVA in order to identify likely sources of significance. 26) ___ Within-group variance is caused by sampling ...
estimating with confidence
... The margin of error is obtained from the sampling distribution and indicates how much error can be expected because of chance variation in randomized data production. Practical difficulties, such as undercoverage and nonresponse in a sample survey, can cause additional errors that may be larger than ...
... The margin of error is obtained from the sampling distribution and indicates how much error can be expected because of chance variation in randomized data production. Practical difficulties, such as undercoverage and nonresponse in a sample survey, can cause additional errors that may be larger than ...
Hypothesis Testing - Columbia Statistics
... without cranberry juice. The study, which appeared today in the Journal of the American Medical Association, was funded by Ocean Spray Cranberries, Inc., but the company had no role in the study’s design, analysis or interpretation, JAMA said. “This is the first demonstration that cranberry juice ca ...
... without cranberry juice. The study, which appeared today in the Journal of the American Medical Association, was funded by Ocean Spray Cranberries, Inc., but the company had no role in the study’s design, analysis or interpretation, JAMA said. “This is the first demonstration that cranberry juice ca ...
Notes2
... Large-Sample Confidence Interval for p. If p is the proportion of successes in a random sample of size n, andq = 1 -p, an approximate (1 - )100% confidence interval for the binomial parameter p is given by _______ _______ p - z/2pq / n < p <p + z/2pq /n , where z/2 is the z-value leav ...
... Large-Sample Confidence Interval for p. If p is the proportion of successes in a random sample of size n, andq = 1 -p, an approximate (1 - )100% confidence interval for the binomial parameter p is given by _______ _______ p - z/2pq / n < p <p + z/2pq /n , where z/2 is the z-value leav ...
Ch6-Sec6.1
... is in the interval (22.3, 23.5).” Correct: “If a large number of samples is collected and a confidence interval is created for each sample, approximately 90% of these intervals will contain μ. ...
... is in the interval (22.3, 23.5).” Correct: “If a large number of samples is collected and a confidence interval is created for each sample, approximately 90% of these intervals will contain μ. ...
Chapter 9 Estimating the Value of a Parameter Chapter 9.1
... population proportion with a level of confidence. Objective B : Confidence Interval A confidence interval for an unknown parameter consists of an interval of numbers based on a point estimate. The level of confidence represents the expected proportion of intervals that will contain the parameter if ...
... population proportion with a level of confidence. Objective B : Confidence Interval A confidence interval for an unknown parameter consists of an interval of numbers based on a point estimate. The level of confidence represents the expected proportion of intervals that will contain the parameter if ...
