Variable And Hypotheses

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Vocabulary

• 1.

A variable that is not changed in an experiment

• A.

Hypothesis

• B.

Increments

• C.

Controlled variable

• D.

X axis

C. Controlled variable
Explanation
A controlled variable is a variable that remains constant throughout an experiment and is not changed. It is used to ensure that any observed changes or effects in the experiment are due to the manipulated variable and not influenced by other factors. By keeping the controlled variable constant, scientists can accurately measure the impact of the manipulated variable on the outcome of the experiment. In this context, the answer "controlled variable" refers to a variable that is not changed in an experiment.

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• 2.

Information gathered through qualitative and quantitative observations, as well as through research

• A.

Independent varialbe

• B.

Data

• C.

Variable

• D.

Inference

B. Data
Explanation
Data refers to the information that is collected through qualitative and quantitative observations, as well as through research. It is a collection of facts, statistics, measurements, or observations that can be analyzed to draw conclusions or make inferences. In this context, data is the correct answer as it encompasses the information gathered through various methods and serves as the basis for analysis and inference.

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• 3.

The factor or condition that might be affected as a result of the manipulated variable; it is another name for the responding variable

• A.

Dependent variable

• B.

Controlled variable

• C.

Independent variable

• D.

Responding variable

A. Dependent variable
Explanation
The dependent variable is the factor or condition that might be affected as a result of the manipulated variable. It is also known as the responding variable because it is the variable that responds to changes in the independent variable. In an experiment, the dependent variable is the variable that is measured or observed to determine the effect of the independent variable.

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• 4.

A special kind of prediction that forecasts how one variable will affect a second variable

• A.

Increments

• B.

Hypothesis

• C.

Variable

• D.

Inference

B. Hypothesis
Explanation
A hypothesis is a statement that predicts how one variable will affect another variable. It is a special kind of prediction that is based on observations and previous knowledge. A hypothesis is used in scientific research to guide experiments and investigations. It helps researchers make predictions about the relationship between variables and test those predictions through empirical evidence.

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• 5.

Numbers that indicate what each line is worth on a graph

• A.

Predicting

• B.

Inference

• C.

Y-axis

• D.

Increments

D. Increments
Explanation
Increments are numbers that indicate the value or distance between each line on a graph. They help in understanding the scale and measurement of the graph. By observing the increments, one can make predictions or inferences about the data represented on the graph. The increments are usually displayed on the y-axis or x-axis, helping to interpret the data accurately.

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• 6.

The factor or condition that is intentionally changed in an investigation; another name for manipulated variable

• A.

Data

• B.

Hypothesis

• C.

Independent variable

• D.

Predicting

C. Independent variable
Explanation
The independent variable is the factor or condition that is intentionally changed in an investigation. It is also known as the manipulated variable. This variable is controlled by the researcher and is hypothesized to have an effect on the dependent variable. The independent variable is important in determining cause-and-effect relationships in scientific experiments.

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• 7.

The logical explanations used to explain events we experience

• A.

Hypothesis

• B.

Data

• C.

Predicting

• D.

Inference

D. Inference
Explanation
Inference is the correct answer because it refers to the logical explanations used to explain events we experience. When we make an inference, we draw conclusions based on evidence or reasoning. It involves using available information to make educated guesses or predictions about what might happen or why something occurred. Inferences are important in understanding and interpreting the world around us, as they allow us to make sense of the data and observations we have.

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• 8.

A factor that is intentionally changed by an investigator in an experiment

• A.

Manipulated variable

• B.

Responding variable

• C.

Controlled variable

• D.

Independent variable

A. Manipulated variable
Explanation
The manipulated variable is a factor intentionally changed by the investigator in an experiment. This means that the investigator has control over this variable and can manipulate it to observe its effects on the experiment. The other variables, such as the responding variable, controlled variable, and independent variable, may also be present in an experiment, but the manipulated variable specifically refers to the factor that is intentionally changed.

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• 9.

The process of using observations and data, along with other kinds of scientific knowledge, to forecast future events.

• A.

Hypothesis

• B.

Inference

• C.

Variable

• D.

Predicting

D. Predicting
Explanation
Predicting refers to the process of using observations and data, along with other kinds of scientific knowledge, to forecast future events. It involves analyzing available information and making educated guesses about what is likely to happen in the future based on patterns and trends observed in the data. This can be done by using statistical models, mathematical equations, or other predictive techniques to estimate the likelihood of different outcomes. Prediction is an important aspect of scientific research and can help guide decision-making and planning for the future.

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• 10.

A factor or condition that might be affected because of the manipulated variable

• A.

Responding variable

• B.

Independent variable

• C.

Controlled variable

• D.

Increments

A. Responding variable
Explanation
The responding variable is the factor or condition that is expected to be affected or influenced by the manipulated variable. It is the variable that is measured or observed in an experiment to determine the effect of the independent variable. In other words, it is the outcome or result that changes in response to the changes made to the independent variable. The responding variable is often used to evaluate the effectiveness or impact of the independent variable on the experiment.

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• 11.

Factors that can change or be changed to affect an event or system

• A.

Increments

• B.

Variable

• C.

Inference

• D.

Hypothesis

B. Variable
Explanation
A variable is a factor that can change or be changed to affect an event or system. In other words, it is something that is not constant and can vary in value. Variables are often used in scientific experiments or research studies to test hypotheses or make inferences about the relationship between different factors. By manipulating or observing variables, researchers can gather data and draw conclusions about how they may impact the outcome of an event or system.

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• 12.

The horizontal line ( ) on a graph

• A.

X-axis

• B.

Data

• C.

Y-axis

• D.

S-axis

A. X-axis
Explanation
The x-axis is the horizontal line on a graph that represents the independent variable or the data being measured. It is typically labeled with values or categories that correspond to the data being plotted. The x-axis is used to show the relationship between the independent variable and the dependent variable, which is plotted on the y-axis.

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• 13.

The vertical line ( ) on a graph

• A.

X-axis

• B.

Z-axis

• C.

Y-axis

• D.

T-axis

C. Y-axis
Explanation
The vertical line on a graph is known as the y-axis. The y-axis represents the dependent variable in a graph, while the x-axis represents the independent variable. It is used to measure and plot data points along the vertical direction. By using the y-axis, we can visually represent the relationship between the dependent and independent variables in a graph.

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• Current Version
• Mar 21, 2023
Quiz Edited by
ProProfs Editorial Team
• Nov 21, 2011
Quiz Created by
Whaymaker

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