AP Statistics Two Variable Vocabulary

Match the following

• y

• Independent Variable symbol

• x

• Dependent Variable symbol

• Confounding Variable

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

• Dependent 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.

• Independent Variable

• A variable whose values are used to explain or

  predict corresponding values for the response 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:

• Conditional Distribution

• A count

• Relative Frequency

• Cell divided by the total for the entire table

• Cumulative Frequency

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

• Marginal 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)

• Frequency

• The row

  and column totals in a two-way table divided by

  the total for the entire table.

Match the following

• Dependent 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.

• Independent Variable

• A variable whose values are used to explain or

  predict corresponding values for the response variable.

• Confounding Variable

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

• x

• Independent Variable symbol

• y

• Dependent Variable symbol

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

  explanatory variable in the model.

• Y-Intercept

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

• Correlation Coefficient

• Gives the direction and

  quantifies the strength of the linear association

  between two quantitative variables.

• Coefficient of Determination

• 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 value of the dependent variable when x equals zero.

Two variable data