Mean+Hypothesis+Testing

Mean Hypothesis Testing (Hypothesis Testing) (GWU EMSE-271)
Index | Topics (Logical Lectures) | Lectures | Problems | Readings | References | Concepts

Confidence intervals, null hypothesis, acceptance and rejection terminology, Type I and Type II errors and the p-value are common to both Mean and Variance Hypothesis Testing.

The t-distribution is used for hypothesis testing of an i.d.d sample from a normal distribution with unknown mean mu and unknown variance sigma squared. The normal distribution  could be used if mu and sigma squared were known and the sample size large enough.

Mean Hypothesis Testing can also be applied to a collection of random variables. Hypothesis tests may be applied on linear regression analysis coefficients as well.

[Other in class comments about sldie 82? Check ]

Check - For DQE ___, should say interval is a realization of that 90% of the time captures the variance.


 * Sources:**
 * EMSE 271, Fall 2009 (Slides 82)