AP Statistics Two Variable Vocabulary

Match the following

• x

• Independent Variable symbol

• Independent Variable

• Dependent Variable symbol

• Dependent Variable

• A variable whose values are used to explain or

  predict corresponding values for the response variable.

• Confounding Variable

• A variable that is related to the explanatory

  variable and influences the response

  variable and may create a false perception of

  association between the two.

• y

• A variable whose values are explained or predicted by the explanatory variable

A connection or link between two variables.

Choose all correct answers:

Measures the number of standard deviations a data value falls above or below the mean.

• Variance

• Standardized Score

• Probability

• Residual

• Z-Score

Match the following:

• Frequency

• Cell divided by the total for the entire table

• Relative Frequency

• Represents the number or proportion of a data set less than or equal to a given number

• Marginal Distribution

• A count

• Cumulative Frequency

• The row

  and column totals in a two-way table divided by

  the total for the entire table.

• Conditional Distribution

• A relative frequency for a specific part of the

  contingency table (e.g., cell frequencies in a

  row divided by the total for that row)

Match the following

• Confounding Variable

• Dependent Variable symbol

• x

• A variable whose values are explained or predicted by the explanatory variable

• Independent Variable

• A variable that is related to the explanatory variable and influences the response variable and may create a false perception of association between the two.

• y

• Independent Variable symbol

• Dependent Variable

• A variable whose values are used to explain or

  predict corresponding values for the response variable.

You are conducting an experiment to explore the relationship between the processor speed (in GHz) of laptops and their battery life (in hours). You notice that higher processor speed tends to reduce battery life.

The explanatory variable is​​ (a)   and the response variable is​ (b)   . We expect ​ (c)   association.

• processor speed

• battery life

• positive

• negative

The amount of time studying for your next test and the grade you make on it. Which is the explanatory variable?

• Amount of time studying for your next test

• Grade you make on test

A researcher wants to know if there is a relationship between a person's income and their level of education. Which statistical test would be appropriate for analyzing the data?

• A. T-test

• B. ANOVA

• C. Chi-square test

• D. Regression analysis

Match the following:

• Slope

• The value of the dependent variable when x equals zero.

• Coefficient of Determination

• Change in the dependent variable divided by the change in the independent variable.

• Y-Intercept

• Gives the direction and

  quantifies the strength of the linear association

  between two quantitative variables.

• Correlation Coefficient

• Calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.

• Standard Deviation of Residuals

• The proportion of variation in the response variable that is explained by the

  explanatory variable in the model.

Two variable data