ECON2209 Lecture Notes - Lecture 12: Standard Error, Null Hypothesis, Confidence Interval

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February 27th
Problems
Standard error of the mean…. Take sample standard deviation and divide by the square root
of n
Consider the following data set: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31. Find
the second decile. Make sure to round your answers to the nearest 100th percentage point.
Answer: 5.8
How to do this problem
N = 16
Location = L20
L20 = (16+1) * (20/100) = 3.4
So somewhere between the 3rd and 4th observation
1, 3, 5, 7 ….
Between 5 and 7
5 + .4(7-5) - 5.8
Estimation:
“Confidence interval”
(1-alpha)*100% confidence interval
Estimation for u (CI for u)
If n is very large, t approaches z
THURSDAY TOP HAT: N = [Zsigma/2*(sigma/B)]2
Hypothesis testin
1. Write the null hypothesis
March 1st
Interpretation of the confidence interval: (1-alpha)/CI
We are (1-alpha)100% confident that the true value falls in the interval constructed
We are 95% confident that the true ____ value, falls between the interval we just
constructed
The Confidence is not in the interval itself, BUT in the process
If we could construct all possible intervals, using all possible sample values, and
using this process, than (1-alpha)*100% of these intervals will contain the true value
The interval constructed, has a (1-alpha)% chance of containing true value and a
alpha(100%) chance of not containing the true value
Regression
Linear
Assumptions
Estimated model → OLS
Estimated variance and standard deviation of error term (E)
Estimation of beta’s
Estimation of the coefficients
Inferences: Test of gammas
Testing the overall utility or usefulness of the model
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Document Summary

Take sample standard deviation and divide by the square root of n. Consider the following data set: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31. Make sure to round your answers to the nearest 100th percentage point. So somewhere between the 3rd and 4th observation. If n is very large, t approaches z. Hypothesis testin: write the null hypothesis. We are (1-alpha)100% confident that the true value falls in the interval constructed. We are 95% confident that the true ____ value, falls between the interval we just constructed. The confidence is not in the interval itself, but in the process. If we could construct all possible intervals, using all possible sample values, and using this process, than (1-alpha)*100% of these intervals will contain the true value. The interval constructed, has a (1-alpha)% chance of containing true value and a alpha(100%) chance of not containing the true value.

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