Statistics - Univariate Data S.ID.1, S.ID.2, S.ID.3

Front

What is univariate data?

Back

Univariate data is data that consists of observations on a single characteristic or attribute. For example, the heights of students in a class.

Front

Define histogram.

Back

A histogram is a graphical representation of the distribution of numerical data, showing the frequency of data points within specified ranges (bins).

Front

What does it mean if a histogram is right skewed?

Back

A right skewed histogram has a longer tail on the right side, indicating that most data points are concentrated on the left with fewer high values.

Front

What is the median?

Back

The median is the middle value of a data set when it is ordered from least to greatest. If there is an even number of observations, it is the average of the two middle values.

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is the difference between the first quartile (Q1) and the third quartile (Q3) in a data set, representing the range of the middle 50% of the data.

Front

How do you calculate the mean?

Back

The mean is calculated by adding all the values in a data set and dividing by the number of values.

Front

What is standard deviation?

Back

Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates that the values tend to be close to the mean.

Front

What does it mean if a dot plot is skewed?

Back

If a dot plot is skewed, it means that the data is not symmetrically distributed, and one tail is longer or fatter than the other.

Front

When should the median be used to represent the center of a data set?

Back

The median should be used when the data set is skewed or contains outliers, as it is less affected by extreme values than the mean.

Front

What is a symmetrical distribution?

Back

A symmetrical distribution is one where the left and right sides of the distribution are mirror images of each other, and the mean, median, and mode are all equal.