Algebra Semester 1: Data & Statistics

Front

What is relative frequency in statistics?

Back

Relative frequency is the ratio of the number of times an event occurs to the total number of trials or observations, often expressed as a percentage.

Front

How do you interpret a box-and-whisker plot?

Back

A box-and-whisker plot displays the distribution of a dataset based on five summary statistics: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

Front

What is the median in a dataset?

Back

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

Front

What is a quartile in statistics?

Back

A quartile is a type of quantile that divides a dataset into four equal parts, with Q1 being the first quartile (25th percentile), Q2 the median (50th percentile), and Q3 the third quartile (75th percentile).

Front

How do you calculate the difference between two values?

Back

To calculate the difference between two values, subtract the smaller value from the larger value.

Front

What is a function in mathematics?

Back

A function is a relation that assigns exactly one output for each input from a specified set, often expressed as f(x) or in function notation.

Front

How do you find the total height of a building with multiple floors and an antenna?

Back

To find the total height, multiply the number of floors by the height of each floor and then add the height of the antenna.

Front

What does the term 'data distribution' refer to?

Back

Data distribution refers to the way in which data values are spread or arranged, often visualized through graphs like histograms or box plots.

Front

What is the purpose of using box-and-whisker plots?

Back

Box-and-whisker plots are used to summarize and compare distributions of datasets, highlighting medians, quartiles, and potential outliers.

Front

What is the significance of the lower quartile (Q1)?

Back

The lower quartile (Q1) represents the value below which 25% of the data falls, indicating the lower end of the data distribution.