Unit 1 Flashcard 2 Review F25

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 determine if there is an outlier in a dataset?

Back

To determine outliers, calculate the interquartile range (IQR) and identify points that fall below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.

Front

What are the five number summary components?

Back

The five number summary includes Minimum, Lower Quartile (Q1), Median (Q2), Upper Quartile (Q3), and Maximum.

Front

What does the median represent in a dataset?

Back

The median is the middle value when the data is ordered from least to greatest, dividing the dataset into two equal halves.

Front

What is the 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

How do you calculate the standard deviation?

Back

To calculate standard deviation, find the mean, subtract the mean from each data point, square the results, find the average of those squares, and take the square root.

Front

What does it mean for a distribution to be skewed right?

Back

A right-skewed distribution has a longer tail on the right side, indicating that there are a few high values that pull the mean to the right.

Front

What is the range of a dataset?

Back

The range is the difference between the maximum and minimum values in a dataset, indicating the spread of the data.

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is the difference between the upper quartile (Q3) and lower quartile (Q1), representing the middle 50% of the data.

Front

What percentage of data is typically less than the median?

Back

Typically, 50% of the data is less than the median, as it divides the dataset into two equal halves.