Hypothesis Tests and Confidence Intervals
About the Lecture
The lecture Hypothesis Tests and Confidence Intervals by Edu Pristine is from the course Archiv - Quantitative Analysis. It contains the following chapters:
- Sampling
- Methods of probability sampling
- Developing sampling distributions
- Summary measures for the sampling distribution
- Central limit theorem
- Example and Solution
Author of lecture Hypothesis Tests and Confidence Intervals
Edu Pristine
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Excerpts from the accompanying material
... the cases where the independent variables doesn't significantly explain the dependent variable, we need the hypothesis testing of the coefficients for checking whether they contribute in explaining the dependent variable significantly or not. The t-statistic is used to check the significance of the coefficients. The t-statistic used for the hypothesis testing is same ...
... the standard error ...
... of the independent varia bles ...
... pocket money. The following hypothesis can be formed: © EduPristine For Quants-III (Confidential). The following hypothesis can be formed: H 0: HI=HE=0 versus H a: At least HI or HE 0. F-statistic is given as: 3 ...
... of freedom of "k" and the denominator has the degrees of freedom of "n-k-1". If H 0 is rejected then at least one out of two independent variable is significantly different ...
... is restricted regression (as coefficients of an omitted variable are assumed to be zero). Regression in which all ...
... Important variables are omitted - Variables should be transformed - Data is improperly pooled 2. Independent variables are correlated with the error term in the time series model ...
... For Quants-III (Confidential) 7 biased and inconsistent regression coefficients ...
