Home / Digital SAT / Digital SAT Maths Study Notes

Digital SAT Maths -Unit 3 - 3.6 Statistics- Study Notes- New Syllabus

Digital SAT Maths -Unit 3 – 3.6 Statistics- Study Notes- New syllabus

Digital SAT Maths -Unit 3 – 3.6 Statistics- Study Notes – per latest Syllabus.

Key Concepts:

Standard deviation (basic idea)
Data interpretation

Digital SAT Maths -Concise Summary Notes- All Topics

Standard Deviation (Basic Idea)

The standard deviation measures how spread out the data values are from the mean (average).

It tells us how consistent the data is.

Interpretation

  • Small standard deviation → values are close to the mean
  • Large standard deviation → values are spread out

Important SAT Point

You are usually not asked to compute standard deviation. You are asked to compare data sets.

Visual Meaning

Two data sets may have the same mean but different spreads.

  • clustered data → lower standard deviation
  • scattered data → higher standard deviation

DIGITAL SAT Tip

If scores are very similar, standard deviation is small. If scores vary a lot, it is large.

Example 1:

Set A: 70, 71, 72, 73, 74

Set B: 50, 60, 70, 80, 90

Which has larger standard deviation?

▶️ Answer/Explanation

Set B values are more spread out.

Answer: Set B

Example 2:

Two classes have the same average test score. One class has scores very close together. What does this mean?

▶️ Answer/Explanation

Answer: smaller standard deviation

Example 3:

A data set has very different values (10, 30, 70, 95). Is the standard deviation high or low?

▶️ Answer/Explanation

Answer: high standard deviation

Data Interpretation

On the DIGITAL SAT, many questions do not require heavy calculations. Instead, you must read and interpret data from graphs or tables. The test measures whether you understand what the information means, not just whether you can compute.

Common Displays

  • tables
  • bar graphs
  • line graphs
  • histograms
  • box plots

Key Skills Tested

  • finding values from a display
  • comparing groups
  • identifying trends
  • estimating from a graph

Very Important Rules

  • Always read axis labels
  • Check units
  • Check scale (many SAT traps are scale tricks)

Understanding Each Display

Line Graph

  

Shows how a quantity changes over time. The slope represents a rate of change.

Bar Graph

Used to compare categories. The tallest bar represents the greatest amount.

Histogram

Shows frequency of data intervals. You read how many values fall within each range.

Box Plot

Displays distribution using the five-number summary. The box length represents the interquartile range (IQR), the spread of the middle 50% of the data.

DIGITAL SAT Tip

Before calculating anything, pause and interpret what the graph actually represents. Many wrong answers come from computing correctly but interpreting incorrectly.

Example 1 (Line Graph Interpretation):

A graph shows water in a tank (liters) versus time (minutes). The line rises steadily from 10 liters at 0 minutes to 70 liters at 10 minutes. What does the slope represent?

▶️ Answer/Explanation

Slope = change in vertical ÷ change in horizontal

\( \dfrac{70 – 10}{10 – 0} = \dfrac{60}{10} = 6 \)

Units: liters per minute.

Conclusion: The slope represents the rate the tank is filling, 6 liters per minute.

Example 2 (Bar Graph Comparison):

A bar graph shows the number of hours four students studied: Alex 5 hours, Brianna 8 hours, Carlos 6 hours, and Dana 3 hours. Who studied the most and by how many hours more than the least?

▶️ Answer/Explanation

Greatest value: 8 hours (Brianna)

Least value: 3 hours (Dana)

\( 8 – 3 = 5 \)

Conclusion: Brianna studied the most, 5 hours more than Dana.

Example 3 (Box Plot Interpretation):

Two box plots show test scores for Class A and Class B. The box for Class A is noticeably longer than the box for Class B. What does this indicate?

▶️ Answer/Explanation

Box length represents the interquartile range (IQR).

Conclusion: Class A has a larger spread in the middle 50% of scores, meaning scores vary more in Class A.

Scroll to Top