출결 및 과제 점검표

학번: 21008611

이름: 이나윤

주	출석 (해당일)	지각 (해당주)	결석 (그 이후)	과제	비고
1주(09/01)	○				수강정정기간
2주(09/08)					추석
3주(09/15)	○
4주(09/22)	○
5주(09/29)	○
6주(10/06)	○
7주(10/13)	○
8주(10/20)	○				중간고사
9주(10/27)	○
10주(11/03)	○
11주(11/10)	○
12주(11/17)					휴강
13주(11/24)	○
14주(12/1)	○
15주(12/8) (보강)	○			○
16주(12/15)	○				기말고사
계	14			1

<각 주별 강의요약 첨부>

1주차

Orientation.

2주차

Thanks giving day

3주차

We have a goal.

General steps are going to be worse.

For example, to not more than 8 hours a day studying.

Worked eight hours a day the animals.

If you do not work more than eight hours inferior animals.

4주차

We need to study more than 8hours a day.

To do what we do?

For a fundamental goal, we are learning.

We should always be distressed for a better life.

Should make the appropriate body to the study.

It must be a movement of people to study.

5주차

Constantly strive for the development of the future.

Fun and all the best.

Professor said “Do your best!"

We should have the ability to express the data.

Than to understanding the class, it is more important to make a power point.

We are not just important to get a good grade, we have the ability to act more important.

6주차

Why did the west coast of the plant?

Be good to have a plant and water, and less rain.

And you can not get into the West Coast is a big ship.

However, China has broken the rules.

There is no need to acquire too much knowledge.

Today we learned about probability.

7주차

In this lesson we learned about the sampling distribution.

It can be seen how much the standard deviation of the scattered x.

The larger the sample the smaller the deviation.

Found variable representing the pros and cons of abortion using Stata opinion.

This plan defines what we learned about.

The plan will be ongoing.

According to the creative economy, we should find out the job.

8주차

1st Exam(midterm)

9주차

We leaned about inference based on a single sample: Tests of Hypothesis using power point.

Entered the http://kastata.org/menu7_1.php web site.

So we use the stata program.

Used 7-1 data.

Next, we used 7-3 data.

Compare the earnings of men and women are equal.

We have entered the t test inc_male = 3000 in command

As a result, the average salary for men is 30 million won.

Next, we used the R-data 2_2.

We have entered the pr test treat = control in command.

After enter the stack treat control, into(cure) in command.

10주차

We learned about the areas of planning theory.

Agrarian society of rationality, reasonableness of industrial society, rationality of the information society is different.

Kind of planning will vary.

Next time we learned Inferences Based on Two Samples : Confidence Intervals & Tests of Hypotheses on Microsoft Power Point.

Correlation analysis was used Stata program on page 65.

We should be able to better take advantage of the Stata program.

11주차

Basically, the plan came from the socialist countries.

Today we learned about the theory of urban planning lecture 5 weeks.

Urban planning was caused by the people who lived.

In the same context, planning theory is another theory appears, depending on the circumstances.

The leading theory is NIMBY and PIMBY advocacy and pluralism.

Then we learned Microsoft Power Point using a simple Linear regression.

The textbook p125 using the Stata analysis was R data8-1.

And using the R-data4_1 textbooks p65 were analyzed Stata.

12주차

Cancel a class

13주차

Then we learned a reliability analysis on page 84 of the textbook.

We led to the data of the stata R5_1.

Performed by entering the db alpha instructions in the dialog.

Enter the psmoke97 pdrink97 pgang97 the command window.

And then we learned what is chi-square test on page 95.

What we learned about cognitive fitness test.

Here, we used the data R6_1.

Enter the command record lottery (1/10 = 1) to the command (11/20 = 2) (21/30 = 3) (31/40 = 4) (41/50 = 5) (51/60 = 6) (61/70 = 7) (71/80 = 8) (81/90 = 9) (91/100 = 10), the gen (lottery_grp).

Then enter the command tab lottery_grp.

In order to test of goodness of fit mgof or findit mgof command in Stata uses.

Then enter to command mgof lottery_grp, freq.

14주차

Today, We learned to simple Linear regression on Microsoft Power Point.

In this model, the Probabilistic model is always a problem.

Examples of probabilistic models, Sales Volume Is 10 Times Advertising Spending + Random Error.

The probabilistic model are regression model, correlation model, other model.

Regression model use for prediction & estimation.

R8_1 using the Stata Data were analyzed of p124.

Enter the reg food_exp income in Command.

Probability is H0: = 0 (no correlation), Ha: 0 (correlation).

Probability varies depending on the model.

And after We had 128 pages of teaching material.

Enter the reg food_exp income, nocons in command.

The regression analysis with a lateral.

It is to analyze a longitudinal analysis categories.

Longitudinal, it is analyzed to analyze a lateral panel.

15주차

Today we learned about multiple regression and model building of chapter 11.

The linear regression model of the textbook p129 was analyzed by the data R8_2.

In the command window, we entered the reg csat percent income.

This is the SAT test scores to y variable, and will set up to take the SAT rate and median household income of high school graduates in the x variable.

Standardizing estimate can be solved the problem arising from the difference of the measure of the variable.

In order to obtain a standardized coefficients is done by adding the beta option.

The following data R8_3 was used for p139 textbooks.

In the command window, we entered the reg lprice lnox iproptax crime.

And next, data R8_1 used in textbooks p146.

16주차

Final Exam