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The Power of Line Graphs in Data Analysis

Understand how line graphs display changes in variables, analyze trends, and make predictions. Learn to develop hypotheses, conduct experiments, draw conclusions, and communicate findings effectively.

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The Power of Line Graphs in Data Analysis

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  1. CH. 1.4 Graphs • What Kinds of Data DO Line Graphs Display? • Why are Line Graphs Powerful Tools?

  2. Assess your Understanding pg. 39

  3. Line Graphs pg. 31 • To help see what data mean you can use a graph. • A graph is a “picture” of your data. • One kind of graph is a line graph. Line graphs display data that show how one variable (the responding variable) changes in response to another variable (the manipulated variable). • Scientists control changes in the manipulated variable. Then they collect data about how the responding variable changes. • A line graph is used when a manipulated variable is continuous, which means there are other points between the tested ones.

  4. Fig. 1 Graphs pg. 31 Analyzing Line Graphs The line graph shows the results of an experiment that tested the amount of sugar that could dissolve in water as temperature was increased. What happens to the amount of sugar that can be dissolved in water when the temperature decreases?

  5. Fig. 2 Graphs pg. 32 Trends and Predictions These graphs are fit from data. We can use these graphs to make predictions or identify trends. • A line graph in which the data points yield a straight line is a linear graph. • The kind of graph in which the data points do not fall along a straight line is called a nonlinear graph. • Both kinds of line graphs are useful. • How are they useful? • they allow you to identify trends, make predictions, and recognize anomalous data. • Graphs make it easy to see anomalous data points. When a graph does not have any clear trends, it probably means that the variables are not related.

  6. Apply IT!! Pg. 33 U.S. Cell Phone Subscribers Use the data in the table to describe a line graph. Assess your Understanding

  7. Doing Experiments pg. 34 • Thinking and questioning is the start of a scientific inquiry process. • Scientific inquiry refers to the diverse (different) ways in which scientists study the natural world and propose (suggest) explanations based on the evidence they gather. • Scientific inquiry often begins with a 1.)question about an observation. In trying to answer a question, you are developing a 2.) hypothesis. • A hypothesis is a possible answer to a scientific question.

  8. Doing Experiments pg. 36 Developing a Hypothesis A hypothesis is an educated guess about how things work. Most of the time a hypothesis is written like this: "If _____[I do this] _____, then _____[this]_____ will happen." (Fill in the blanks with the appropriate information from your own experiment.) What are the two hypotheses that might answer this question: Why does it take the school bus longer to get to school on a Monday compared to a Friday?

  9. How are Experiments Designed and Conducted? Pg. 37 • After developing a hypothesis, you are ready to test it by designing an experiment. • An experiment must follow sound scientific principles for its result to be valid. • Variables are factors that can change in an experiment. • The one variable that is purposely changed to test a hypothesis is the manipulated variable, or independent variable. • The factor that may change in response to the manipulated variable is the responding variable, or dependent variable. All other variables must be the kept the same. An experiment in which only one variable is manipulated at a time is called a controlled experiment. In any experiment there is a risk of introducing bias.

  10. Drawing Conclusions & Communicating pg. 40-41 • A conclusion is a summary of what you have learned in an experiment. • Communicating is the sharing of ideas and results with others through writing and speaking. Scientists communicate by giving talks at scientific meetings, exchanging information on the Internet, or publishing articles in scientific journals.

  11. Fig. 5 Drawing Conclusions pg. 40 Sometimes the same experiment can produce very different data. If the data in this table were yours, what might you do next?

  12. Do the Math pg. 39 Data Tables A data table helps you organize the information collected in an experiment. Graphing the data may reveal whether there are patterns to your data. Do the data support the hypothesis that hummngbirds prefer red feeders?

  13. What are Some Other Types of Scientific Observation? pg. 42 Sometimes it is not possible or desirable to design a controlled experiment to investigate a question. Different types of scientific investigations include observational research and opinion-based research. • Observational research involves methods where the researchers try to observe an event without interfering. • Opinion-based research involves asking people questions using surveys and interviews. The collected data is then analyzed.

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