Lecture 7 Flashcards
Statistical Methods
Data Collection Organization and Presentation Descriptive Measures Statistical Inference Predictive Statistics
When is sample size large?
n = 30
Sampling Distribution
Probablity Distribution of a statistic
Two properties of good point estimators
The point estimator should be unbiased
The point estimator should have minimum variance
Type 1 Error
Rejecting a null hypothesis when it is acceptable
Alpha error
False positive
Type 2 Error
Failing to reject
Accepting a null hypothesis when it is false
Beta error
False negative
Two situations in hypothesis testing
Case I: when variance is known
Case II: when variance in unknown
Central Limit Theorem
When the sample size is large, distribution of sample means always follows a normal distribution
T-Distribution
Used when population variance is unknown or when the sample size is small