SR Unit 1 Final Review

Front

What is an outlier in a data set?

Back

An outlier is a data point that differs significantly from other observations in a dataset. It can skew the results and affect statistical analyses.

Front

How do you identify outliers in a data set?

Back

Outliers can be identified using methods such as the IQR (Interquartile Range) method, where any data point that lies below Q1 - 1.5*IQR or above Q3 + 1.5*IQR is considered an outlier.

Front

What is the mode of a data set?

Back

The mode is the value that appears most frequently in a data set.

Front

What does it mean if a graph's y-axis does not start at zero?

Back

If a graph's y-axis does not start at zero, it can exaggerate differences between values, making the data appear more significant than it is, which can be misleading.

Front

What type of data is represented by favorite basketball teams?

Back

Favorite basketball teams are an example of categorical data, which represents characteristics or qualities.

Front

What does the center line in a box plot represent?

Back

The center line in a box plot represents the median of the data set.

Front

What is the difference between categorical and quantitative data?

Back

Categorical data represents categories or groups (e.g., colors, names), while quantitative data represents numerical values that can be measured (e.g., height, weight).

Front

How do you calculate the median of a data set?

Back

To calculate the median, arrange the data points in ascending order and find the middle value. If there is an even number of observations, the median is the average of the two middle values.

Front

What is the significance of the interquartile range (IQR)?

Back

The IQR measures the spread of the middle 50% of a data set and is used to identify outliers.

Front

What is misleading data representation?

Back

Misleading data representation occurs when data is presented in a way that distorts the truth, often through improper scaling or selective data presentation.