One-Sample T
... Building on the logic of hypothesis testing: T-tests ______________________________________________ 1) Introduce the t-test and explain when it should be used 2) Define Directional Hypotheses (one-tailed t-tests) and contrast them with ‘Non-Directional Hypotheses’ (two-tailed t-tests) that were desc ...
... Building on the logic of hypothesis testing: T-tests ______________________________________________ 1) Introduce the t-test and explain when it should be used 2) Define Directional Hypotheses (one-tailed t-tests) and contrast them with ‘Non-Directional Hypotheses’ (two-tailed t-tests) that were desc ...
Sample size determination
... size will produce an estimate that is within one standard error (plus or minus) of the true population The answer is 68.26% that any one sample from a particular population will produce an estimate of the population mean that is within +/- one standard error of the true value. This is because 68.2 ...
... size will produce an estimate that is within one standard error (plus or minus) of the true population The answer is 68.26% that any one sample from a particular population will produce an estimate of the population mean that is within +/- one standard error of the true value. This is because 68.2 ...
The p-value
... The p-value in the blood pressure/OC example is .0089 – Interpretation—If the true before OC/after OC blood pressure difference is 0 amongst all women taking OC’s, then the chance of seeing a mean difference as extreme/more extreme as 4.8 in a sample of 10 women is .0089 ...
... The p-value in the blood pressure/OC example is .0089 – Interpretation—If the true before OC/after OC blood pressure difference is 0 amongst all women taking OC’s, then the chance of seeing a mean difference as extreme/more extreme as 4.8 in a sample of 10 women is .0089 ...
GMA Chapter 13
... Descriptive statistics show how often or how frequent an event or score occurred. Inferential statistics help researchers know whether they can generalize their findings to a population based upon their sample of participants. Inferential statistics use data to assess likelihood—or probability. ...
... Descriptive statistics show how often or how frequent an event or score occurred. Inferential statistics help researchers know whether they can generalize their findings to a population based upon their sample of participants. Inferential statistics use data to assess likelihood—or probability. ...
Lecture Notes on Bayesian Estimation and Classification
... framework. For example, pattern classification is clearly a decision making problem, where S = A is the set of possible classes; here, x ∈ X is the observed feature vector which is input to the decision rule δ(x) : X → A, and fX (x|s) is the class conditional probability function. For example, a sys ...
... framework. For example, pattern classification is clearly a decision making problem, where S = A is the set of possible classes; here, x ∈ X is the observed feature vector which is input to the decision rule δ(x) : X → A, and fX (x|s) is the class conditional probability function. For example, a sys ...
