Test 2
Part I
50 Points
Closed book
Concepts
- Parameter Space
- Estimators and Estimates
- Likelihood Function
- Maximum Likelihood Estimators (MLE's)
- Method of Moment Estimators(MOME's)
- Mean and Variance
- Unbiasedness
- Invariance Property of MLE's
- Point and Interval estimators
Skills
Ability to
- find MLE's and MOME's
- show unbiasedness of an estimator
- derive confidence intervals
- make transformations of distributions
- do differentiations and integrations
Part II
50 points
Open textbook (Class notes are not allowed)
Concepts
- Confidence Intervals for
- means
- difference of two means
- variances
- proportions
- Sample Size
Skills
Ability to read the following tables
- Standard normal distribution
- T-distribution
- Chi-square distribution
- F-distribution
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