Algebra Stats- Recap

Front

What is a box and whisker plot?

Back

A box and whisker plot is a graphical representation of a dataset that displays its minimum, first quartile (Q1), median, third quartile (Q3), and maximum values.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

How do you find the median of a dataset?

Back

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

Tags

CCSS.6.SP.B.5C

Front

What does the term 'quartile' refer to in statistics?

Back

Quartiles are values that divide a dataset into four equal parts, with each part representing 25% of the data.

Tags

CCSS.6.SP.B.5C

Front

What is the difference between the upper quartile and lower quartile?

Back

The upper quartile (Q3) is the median of the upper half of the dataset, while the lower quartile (Q1) is the median of the lower half.

Tags

CCSS.6.SP.B.5C

Front

How do you calculate the range of a dataset?

Back

The range is calculated by subtracting the minimum value from the maximum value in the dataset.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is the median of a dataset?

Back

The median is the middle value of a dataset when it is ordered from least to greatest.

Tags

CCSS.6.SP.B.5C

Front

What does a higher median in a box and whisker plot indicate?

Back

A higher median indicates that the central tendency of the data is higher, suggesting that most values are above the midpoint.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

How can you determine the number of values below a certain threshold in a dataset?

Back

Count the number of data points that are less than the specified threshold value.

Front

What is the significance of the whiskers in a box and whisker plot?

Back

The whiskers extend from the box to the smallest and largest values that are not outliers, showing the spread of the data.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is an outlier in a dataset?

Back

An outlier is a data point that is significantly different from the other values in the dataset, often lying outside 1.5 times the interquartile range.