252y0551h
... a. State the null and alternative hypotheses in each case and find a critical value for each case. What is the ‘reject’ region? Compute a test ratio and find a p-value for the hypothesis in each case. (12) (i) The state government wants to test that the fraction of people who favored higher taxes fo ...
... a. State the null and alternative hypotheses in each case and find a critical value for each case. What is the ‘reject’ region? Compute a test ratio and find a p-value for the hypothesis in each case. (12) (i) The state government wants to test that the fraction of people who favored higher taxes fo ...
Adaptive Testing on a Regression Function at a Point Yale University
... for a more thorough exposition of the literature. Typically, the goal in this literature is to derive bounds in problems similar to the one considered here, but with the alternative given by {ϕ(g) ≥ b} ∩ F, where ϕ(g) is some function measuring distance from the null and F a class of functions impo ...
... for a more thorough exposition of the literature. Typically, the goal in this literature is to derive bounds in problems similar to the one considered here, but with the alternative given by {ϕ(g) ≥ b} ∩ F, where ϕ(g) is some function measuring distance from the null and F a class of functions impo ...
Chapter 14-15 - University of Utah Math Department
... Does the job satisfaction of assembly workers differ when their work is machine-paced rather than self-paced? A matched pairs study was performed on a sample of workers, and each worker’s satisfaction was assessed after working in each setting. The response variable is the difference in satisfaction ...
... Does the job satisfaction of assembly workers differ when their work is machine-paced rather than self-paced? A matched pairs study was performed on a sample of workers, and each worker’s satisfaction was assessed after working in each setting. The response variable is the difference in satisfaction ...
Article (Author postprint)
... “normalize" variables by either transforming them (e.g., logarithmic transformation) or by deleting outlying observations (e.g., deleting observations more than two standard deviations from the mean). However, there are several problems with these methods. The main problem with transformation is tha ...
... “normalize" variables by either transforming them (e.g., logarithmic transformation) or by deleting outlying observations (e.g., deleting observations more than two standard deviations from the mean). However, there are several problems with these methods. The main problem with transformation is tha ...
Package `sjstats`
... provided by R’s base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and ca ...
... provided by R’s base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and ca ...
Tests for Two Means (Simulation)
... Computer simulation allows us to estimate the power and significance level that is actually achieved by a test procedure in situations that are not mathematically tractable. Computer simulation was once limited to mainframe computers. But, in recent years, as computer speeds have increased, simulati ...
... Computer simulation allows us to estimate the power and significance level that is actually achieved by a test procedure in situations that are not mathematically tractable. Computer simulation was once limited to mainframe computers. But, in recent years, as computer speeds have increased, simulati ...
252onesx0
... Statement of problem: The problem statement is either “Test at the 5% significance level to see if the mean income is at least 20000,” or “Test at the 5% significance level to see if the mean income is less than 20000.” These statements are opposites. Since the first statement contains an implicit e ...
... Statement of problem: The problem statement is either “Test at the 5% significance level to see if the mean income is at least 20000,” or “Test at the 5% significance level to see if the mean income is less than 20000.” These statements are opposites. Since the first statement contains an implicit e ...
Linear regression
... of the test. She is right, of course; for all these reasons, Equation (4.3) will not hold exactly for all districts. Instead, it should be viewed as a statement about a relationship that holds on average across the population of districts. A version of this linear relationship that holds for each di ...
... of the test. She is right, of course; for all these reasons, Equation (4.3) will not hold exactly for all districts. Instead, it should be viewed as a statement about a relationship that holds on average across the population of districts. A version of this linear relationship that holds for each di ...
Ch. 2 Methods for Describing Sets of Data 2.1 Describing Qualitative
... have been requested to review the performance of one of the trainees on the final test that was given to all trainees. The mean of the test scores is 74. Additional information indicated that the median of the test scores was 84. What type of distribution most likely describes the shape of the test ...
... have been requested to review the performance of one of the trainees on the final test that was given to all trainees. The mean of the test scores is 74. Additional information indicated that the median of the test scores was 84. What type of distribution most likely describes the shape of the test ...
Chapter 9: Two-Sample Inference
... the individuals from one sample are overall different from the individuals from the other sample. This will mean that sample one has no affect on sample two. The sample values from one sample are not related or paired with values from the other sample. If you choose the samples so that a measurement ...
... the individuals from one sample are overall different from the individuals from the other sample. This will mean that sample one has no affect on sample two. The sample values from one sample are not related or paired with values from the other sample. If you choose the samples so that a measurement ...