In the following research problems, determine the type of analysis, variables of the study, nature of data , and the data analysis;

1. Is there a significant relationship between educational attainment and the level of motivation to study (using the Likert scale)?

1. Type of Analysis:

2. Variables:,

3. Nature of Data:

4. Data Analysis:

2. Would UM graduating students change their self-concept after knowing they had passed an important test?

1. Type of Analysis:

2. Variables:,

3. Nature of Data:

4. Data Analysis:

Sample:

1. Type of Analysis

This is a hypothesis test to compare two groups (employers) in terms of a continuous variable (salaries of employees). The null hypothesis would be that there is no difference between the two groups in terms of salaries of employees. A two-sample t-test could be used to test this hypothesis. Generally, the hypothesis test testing to see if there is a significant difference between the two groups in terms of the salaries of their employees.

2. Variables

There are two variables in this research problem: salaries of employees and employers. The first variable is the dependent variable, and the second variable is the independent variable. The independent variable is the one that is being manipulated by the researcher, and the dependent variable is the one that is being affected by the independent variable. In this research problem, the independent variable is the group of employers, and the dependent variable is the salaries of their employees. The researcher is trying to find out if there is a significant difference between the two groups of employers in terms of the salaries of their employees.

3. Nature of Data

The nature of the data for this problem is quantitative. This is because the salaries of employees are a numerical value that can be compared between the two groups of employers. In order to determine if there is a significant difference between the two groups, a statistical test will need to be performed. The data is also dichotomous, as it is divided into two groups (employers and employees).

4. Data Analysis

The data analysis for this research problem would involve looking at the salaries of employees in both groups and seeing if there is a significant difference between them. To do this, you would need to calculate the mean and standard deviation for both groups and then use a t-test to see if the difference between the two means is statistically significant.