Question

Hypothesis 1: Job stress is associated with absenteeism rates at work.

1. What type of relationship would you predict (positive linear, negative linear, and so on)?

2. Graph and label the relationship you predict. State a prediction based on the relationship

shown by your graph.

3. Which method (experimental or nonexperimental) would you use to test this hypothesis?

Why?

4. Which is the independent or “cause” variable and which is the dependent or “effect”

variable?

5. State an operational definition for each variable. If experimental, describe how the

independent variable might be manipulated and the dependent variable measured. If

nonexperimental, describe how both variables might be measured.

Hypothesis 2: A pregnant woman’s diet affects the birth weight of her baby.

1. What type of relationship would you predict (positive linear, negative linear, and so on)?

2. Graph and label the relationship you predict. State a prediction based on the relationship

shown by your graph.

3. Which method (experimental or nonexperimental) would you use to test this hypothesis?

Why?

4. Which is the independent or “cause” variable and which is the dependent or “effect”

variable?

5. State an operational definition for each variable. If experimental, describe how the

independent variable might be manipulated and the dependent variable measured. If

nonexperimental, describe how both variables might be measured.

Hypothesis 3: The size of a meeting is related to the length of the meeting.

1. What type of relationship would you predict (positive linear, negative linear, and so on)?

2. Graph and label the relationship you predict. State a prediction based on the relationship

shown by your graph.

3. Which method (experimental or nonexperimental) would you use to test this hypothesis?

Why?

4. Which is the independent or “cause” variable and which is the dependent or “effect”

variable?

5. State an operational definition for each variable. If experimental, describe how the

independent variable might be manipulated and the dependent variable measured. If

nonexperimental, describe how both variables might be measured.

Hypothesis 4: Frequency of child abuse is related to the parents’ ages when they married.

1. What type of relationship would you predict (positive linear, negative linear, and so on)?

2. Graph and label the relationship you predict. State a prediction based on the relationship

shown by your graph.

3. Which method (experimental or nonexperimental) would you use to test this hypothesis?

Why?

4. Which is the independent or “cause” variable and which is the dependent or “effect”

variable?

5. State an operational definition for each variable. If experimental, describe how the

independent variable might be manipulated and the dependent variable measured. If

nonexperimental, describe how both variables might be measured.

Hypothesis 5: Political orientation is related to attitude toward gun control.

1. What type of relationship would you predict (positive linear, negative linear, and so on)?

2. Graph and label the relationship you predict. State a prediction based on the relationship

shown by your graph.

3. Which method (experimental or nonexperimental) would you use to test this hypothesis?

Why?

4. Which is the independent or “cause” variable and which is the dependent or “effect”

variable?

5. State an operational definition for each variable. If experimental, describe how the

independent variable might be manipulated and the dependent variable measured. If

nonexperimental, describe how both variables might be measured.

Answer 1

1)

Hypothesis 1:

Predicted Relationship will be positive linear

Quantative method will be used for testing the hypothesis

Job Stress will be   independent variable or cause variable

absentee of the employees will be  the dependent variable. or effect variable

We will use the correlation method is used to compare the two variables

the independent variable can be operationally defined as the test performance of the employees on a stress inventory that measures the level of their work related anxiety.

The dependent variable can be defined as the actual number of days at work which were missed by the employees.

Hypothesis 2:

There will be positive linear relationship between the both

The hypothesis can be tested using the quantitative approach.

This is because, the hypothesis describes the relationship between the variables to be stated in measurable that is statistical terms and this would yield more scientifically valid results than qualitative approach

Effect or dependent variable is birth weight of baby

independent variable or cause variable will be pregnant woman diet

The independent variable can be operationally defined in terms of the diet in the optimal nutritional proportions in joules(energy units)  that are being consumed by the female participants in the study.

Any proportion below or above the optimal or the balanced diet range will be an indicator of an alteration in the diet from the expected standards.

The dependent variable is the weight of the baby  born to the participants at the time of birth as measured on the weighing scale in kgs.

Such a study requires a repeated study of the Participants over a long period of 9-10 months.

Therefore, a cross-sequential cor-relational study would be effective.

Hypothesis 3: The size of a meeting is related to the length of the meeting

There will be positive linear relationship

Quantative method will be used to study

independent or cause variable is size of people

dependent variable is length of time of meeting

It can be studied using the experimental method

in which the independent variable can be operationally defined as the actual number of participants in a group where the experimenters change the number of members in the experimental group from 4 members, then to making the total count to 6 members, then to 8 members and finally 10 members. In this way, they can manipulate the treatment condition to see its effect on the dependent variable. The dependent variable here can be operationally defined as the amount of productive time spent by the participants doing the required task as part of the groups in minutes and seconds.

Hypothesis 4: Frequency of child abuse is related to the parents’ ages when they married

There will be positive linear relationship

Study can be analyzed using quantative method

Independent variable is age of parents at time of marriage

Dependent variable is Frequency of child abuse

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