Question

*Untitled2 [DataSet1] - IBM SPSS Statistics Data Editor File Edit View Dta Iransform Analyze Graphs Utilities Extensions Window Help Align Left Right Right Right Measure Nominal 、1 Scale Scale Scale Role Input Input Input Input Label Values Missi Columns Name Width Decimals ClassType String 12 12 12 2 MasteryPoi.. Numeric 2 Total Time Spent None TotalTimeS Numeric FinalGrade Numeric 18 15 10 12 13 14 15 16 17 18 19 20 21

Prepare:  

• Context: What do the data mean? What is the goal of the study?
• Source: What is the source objective, is the source biased?  
• Sampling: Does the method influence the validity of the conclusion? Voluntary response (self-selected?) Bias?

In the previous RW0, you opened the dataset that we will use throughout the semester for all RW’s. You identified the variables and variable types.

Below is a description of the data, how it was collected, and what the variables mean. Use this description to answer the questions of preparation.

The dataset consists of data collected from a random sample of 60 students from one instructor in Stat 30100. Thirty students were randomly chosen from the online class and 30 were chosen from the traditional face-to-face class. The variables recorded are the student’s final grade percentage in the course, the amount of time they spent on their Study Plan in MyStatLabs, the number of Mastery Points they achieved at the end of the semester, and what type of class they are in.

1. Identify the population for this study.

2. What is the unit or individual for the study?

3. What type of sampling method is described?

4. What is a question we could ask and test using this data? (For Example: “Do students who are in the online course score better than the face to face students?”)

5. Is the source of the data biased?

6. Does the sampling method described influence the validity of the conclusion?

7. What other factors or variables would you want included in the dataset which may affect grades?

Answer 1

Identify the population for this study.
Students studying Stat30100

What is the unit or individual for the study?
Student

What type of sampling method is described?
Stratified random sampling

What is a question we could ask and test using this data? (For Example: “Do students who are in the online course score better than the face to face students?”)

Is the mean grade of the students doing the online class and face to face class signficantly different?

Is the source of the data biased?
Yes because here the data for the face to face class could be selected from all the students going through the course irrespective of the instructor.

Does the sampling method described influence the validity of the conclusion?
Yes the stratified random sampling helps to attain a validity unbaised conclusion.

What other factors or variables would you want included in the dataset which may affect grades?
Others factors or variables that may affect the grades
- the quality of the instructor.
- time spent by online students.
- profile of the online students(working profession or part time workers, housewives)