Year 8 Test - Variables Experimental Design
Are you in your year eight (as in England, Australia, Wales, New Zealand, and Northern Ireland) or Seventh grade (as in the United States and Canada)? Take this assessment test to assess your knowledge of variables experimental design.
- 1.
Which of the following approaches should be used if you can't fix the variables?
- A.
Randomize it
- B.
Non stratify it
- C.
Generalize it
- D.
None of the mentioned
Correct Answer
A. Randomize itExplanation
If you can't fix the variables, the best approach would be to randomize them. This means assigning values to the variables in a random manner, allowing for variability and reducing bias in the data. Randomization helps to ensure that the variables are not systematically biased or influenced by external factors, leading to more accurate and unbiased results. Non-stratifying or generalizing the variables may not be appropriate in this case as it does not address the issue of fixing the variables. Therefore, the correct approach is to randomize the variables.Rate this question:
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- 2.
Which of these is usually described as data fishing?
- A.
Data booting
- B.
Data bagging
- C.
Data merging
- D.
None of the above
Correct Answer
D. None of the aboveExplanation
Data fishing refers to the practice of searching for or collecting data in an unstructured or random manner, often with the intention of finding useful or valuable information. In this context, none of the options provided (data booting, data bagging, data merging) accurately describe this practice. Therefore, the correct answer is "None of the above."Rate this question:
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- 3.
Which data mining technique is used to uncover patterns in data?
- A.
Data dredging
- B.
Data booting
- C.
Data bagging
- D.
Data merging
Correct Answer
A. Data dredgingExplanation
Data dredging is a data mining technique used to uncover patterns in data. It involves analyzing large volumes of data to identify relationships, correlations, and trends that may not have been initially hypothesized. This technique is often used in exploratory data analysis and can help researchers discover new insights and generate hypotheses for further investigation. Data dredging is particularly useful when dealing with large and complex datasets, as it allows for a comprehensive examination of the data to uncover hidden patterns and relationships.Rate this question:
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- 4.
Which of these is not a way to manipulate independent variables?
- A.
Presence technique
- B.
Amount technique
- C.
Type technique
- D.
Random technique
Correct Answer
D. Random techniqueExplanation
The random technique is not a way to manipulate independent variables. The presence technique involves manipulating the presence or absence of an independent variable. The amount technique involves manipulating the quantity or intensity of the independent variable. The type technique involves manipulating different types or categories of the independent variable. However, the random technique does not involve manipulating the independent variable, but rather refers to the random assignment of participants to different conditions or groups in order to control for confounding variables.Rate this question:
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- 5.
Which of these terms is not related to counterbalancing?
- A.
Sequencing effects
- B.
Order effect
- C.
Carryover effect
- D.
Matching
Correct Answer
D. MatchingExplanation
Matching is not related to counterbalancing because it refers to the process of selecting participants or groups in a way that ensures they are similar on certain characteristics. Counterbalancing, on the other hand, is a technique used in experimental design to control for the potential effects of order or sequencing of treatments. It involves systematically varying the order in which different conditions or treatments are presented to participants. Therefore, matching is not directly related to counterbalancing.Rate this question:
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- 6.
Which of these is the influence of a single independent variable?
- A.
Proactive effect
- B.
Interaction effect
- C.
Main effect
- D.
Reactive effect
Correct Answer
D. Reactive effectExplanation
A reactive effect refers to the influence of a single independent variable on the dependent variable. It occurs when the independent variable causes a change in the dependent variable, indicating a direct relationship between the two variables. This effect is specific to the independent variable being studied and does not involve any interactions or proactive effects from other variables.Rate this question:
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- 7.
What is the group that receives experimental condition called...
- A.
Control group
- B.
Independent group
- C.
Experimental group
- D.
Participant group
Correct Answer
C. Experimental groupExplanation
The group that receives the experimental condition is called the experimental group. This group is subjected to the intervention or treatment being studied in order to observe and measure its effects. It is compared to the control group, which does not receive the experimental condition, in order to determine the impact of the intervention. The experimental group allows researchers to assess the effectiveness or outcomes of the experimental treatment or condition being tested.Rate this question:
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- 8.
Which of these is the combination of two or more independent variables in a factorial design?
- A.
Cells
- B.
Columns
- C.
Rows
- D.
Cols
Correct Answer
B. ColumnsExplanation
In a factorial design, independent variables are manipulated to examine their effects on the dependent variable. The combination of two or more independent variables is represented by columns in the design. Each column represents a unique combination of the independent variables, allowing researchers to study the main effects and interactions between variables. Therefore, the correct answer is "Columns."Rate this question:
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- 9.
The goal in an experimental research study is to isolate and identify the effect produced by...
- A.
Extraneous variable
- B.
Independent variable
- C.
Confounding variable
- D.
Dependent variable
Correct Answer
B. Independent variableExplanation
In an experimental research study, the goal is to isolate and identify the effect produced by the independent variable. The independent variable is the variable that is manipulated or changed by the researcher in order to observe its effect on the dependent variable. By controlling and manipulating the independent variable, researchers can determine its impact on the outcome or behavior being studied.Rate this question:
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- 10.
Which of the following is chosen to control such things as order and carryover effects?
- A.
Counterbalancing
- B.
Dataram
- C.
Proactive effects,
- D.
Experimental data
Correct Answer
A. CounterbalancingExplanation
Counterbalancing is chosen to control order and carryover effects in experiments. Order effects refer to the potential influence of the order in which conditions are presented on participants' responses. Carryover effects occur when the effects of one condition persist and influence subsequent conditions. Counterbalancing involves systematically varying the order of conditions across participants to minimize these effects. By counterbalancing, researchers can ensure that any observed effects are not due to the order in which conditions were presented, but rather to the independent variables being manipulated.Rate this question:
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Mar 21, 2023Quiz Edited by
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Feb 24, 2018Quiz Created by
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