Create a Stata program file that does all the following (attach the program file in to including a listing of commands below):

Input the following data on wages, education, and experience:

Wage	Educ	Exper
5.1	8	21
4.95	9	42
6.67	12	1
4	12	4
7.5	12	17

Instead of using the input command, use "import excel" to import the same five observations stored in wages.xls.

Describe the properties of the data.

For each variable, provide the mean, standard deviation, and minimum and maximum values.

For each variable, provide all the same information along with percentile data, skewness, and kurtosis.

Now, create a new variable named "blank" comprised of values equal to -555.

Recode and/or replace the values of the variable "blank" to missing.

Create a new variable named "greeting" comprised of empty strings.

Replace the values of the variable "greeting" with "hello" (you are creating a "string" variable in Stata).

Q2. How can we distinguish quantitative data analysis/research from qualitative data analysis/research?

Q3. Suppose we are interested in conducting a web-based questionnaire to analyze 250 completed surveys. Also, suppose that we expect to reach 90% of potential respondents, 35% of respondents are willing to complete a survey, and 75% of those who complete a survey will fill it out correctly. What percentage of respondents will provide data that can be used in analysis? Again, how many survey links should be distributed to the population?

Q4. What is a population? Why do we use samples? Finally, explain the difference between probability-based and non-probability-based samples with detailed examples.

Q5. Provide a qualitative explanation of the difference between reliability and validity? How about a quantitative explanation?

Q6. What is the main benefit of an experimental design?

Q7. How can we measure the effect of the treatment in the following designs: 1) before-and-after design, 2) before-after experiment with a control group, and 3) the Solomon four-group design?