AP Stats: Chapter 1 Practice Test

Front

What are categorical and quantitative variables?

Back

Categorical variables represent categories or groups (e.g., model of plane), while quantitative variables represent numerical values (e.g., amount of fuel used).

Front

What is the difference between discrete and continuous variables?

Back

Discrete variables can take on a finite number of values (e.g., number of passengers), while continuous variables can take on an infinite number of values within a range (e.g., time in flight).

Front

What does it mean for a mean salary to be between two values?

Back

It indicates that the overall mean salary of all workers can fall anywhere between the mean salaries of female and male workers, depending on the number of each group.

Front

How do you calculate the response rate in a survey?

Back

Response rate = (Number of responses / Number of questionnaires sent) x 100.

Front

Why is it important for a bar graph to start at 0 on the vertical axis?

Back

Starting at 0 provides an accurate representation of the data and avoids misleading interpretations of the differences in values.

Front

What is a boxplot and what does it represent?

Back

A boxplot visually summarizes the distribution of a dataset, showing the median, quartiles, and potential outliers.

Front

What is the purpose of using high and low concentrations in an experiment?

Back

To determine how different levels of a treatment affect the outcome, allowing for comparison of effectiveness.

Front

What does it mean if results are less variable?

Back

Less variable results indicate that the data points are closer to the mean, showing more consistency in the outcomes.

Front

What is the significance of a two-way table in data analysis?

Back

A two-way table displays the relationship between two categorical variables, allowing for comparison and analysis of their interactions.

Front

What is the role of random selection in surveys?

Back

Random selection helps ensure that the sample is representative of the population, reducing bias in the results.