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AP STATISTICS LESSON 3 – 1

AP STATISTICS LESSON 3 – 1. EXAMINING RELATIONSHIPS SCATTER PLOTS. ESSENTIAL QUESTION: How can Scatterplots be used to analyze data?. To make scatterplots with a calculator. To determine Explanatory and Response variables.

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AP STATISTICS LESSON 3 – 1

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  1. AP STATISTICSLESSON 3 – 1 EXAMINING RELATIONSHIPS SCATTER PLOTS

  2. ESSENTIAL QUESTION: How can Scatterplots be used to analyze data? • To make scatterplots with a calculator. • To determine Explanatory and Response variables. • To graph two quantitative and categorical variables on the same scatterplot.

  3. Introduction When you examine the relationships between two or more variables, first ask the preliminary questions that are familiar from Chapter 1 and Chapter 2: • What individuals do the data describe? • What exactly are the variables? How are they measured? • Are all the variables quantitative or is at least one a categorical variable?

  4. Response variable, Explanatory Variable • A response variable measures an outcome of a study. • An explanatory variable attempts to explain the observed outcomes. • Explanatory variable is the independent variable and the response variable is the dependant variable.

  5. When examining data… • First plot the data, then add numerical summaries. • Look for overall patterns and deviations from those patterns. • When the overall pattern is quite regular, use a compact mathematic model to describe it.

  6. Scatterplots • The most effective way to display the relation between two quantitative variables. • A scatterplot shows the relationship between two quantitative variables measured on the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as the point in the plot fixed by the values of both variables for that individual. Explanatory – x axis Response – y axis

  7. Interpreting a Scatterplot • In any graph of data, look for the overallpattern and for striking deviations from that pattern. • You can describe the overall pattern of a scatterplot by the form, direction and strength of the relationship. • An important kind of deviation is an outlier, an individual value that falls outside the overall pattern of the relationship.

  8. Positive association, Negative association • Two variables are positively associated when above-average values of one tend to accompany above-average values of the other and below-average values also tend to occur together. • Two variables are negatively associated when above-average values of one tend to accompany below-average values of the other, and vice versa.

  9. Additional information • The strength of a relationship in a scatterplot is determined by how closely the points follow a clear form. • Cluster – a group of data that are in close proximity on the scatterplot.

  10. Tips for drawing Scatterplots • Scale the horizontal and vertical axes. The intervals must be uniform: that is, the distance between tick marks must be the same. If the scale does not begin at zero at the origin, then use the symbol shown to indicate a break. • Label both axes. • If you are given a grid, try to adopt a scale so that your plot uses the whole grid. Make your plot large enough so that the details can be easily seen.

  11. Adding Categorical Variables to Scatterplots • Use different colors or symbols to plot points when you want to add a categorical variable to a scatterplot. • When several individuals have exactly the same data, they occupy the same point on the scatterplot.

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