Rounding Numbers in Python

The value 1.73 rounded to one decimal place using the “rounding up” strategy is…

• 1.7

• 1.8

• 1.73

The value -2.961 rounded to two decimal places using the “rounding down” strategy is…

• -2.96

• -2.97

• -2.9

• -2.961

When a value is truncated to 3 decimal places, which of the following is true?

• Both positive and negative numbers are rounded down.

• Positive numbers are rounded down and negative numbers are rounded up.

• Positive numbers are rounded up and negative numbers are rounded down.

• Both positive and negative numbers are rounded up.

The value -0.045 rounded to 2 decimal places using the “round half away from zero” strategy is…

• -0.05

• -0.04

• -0.045

• -0.03

Which rounding strategy does Python’s built-in round() function use?

• Round half away from zero

• Round half to even

• Round half down

• Round half up

The value 4.65 rounded to one decimal place using the “round half to even” strategy is…

• 4.6

• 4.7

• 4.65

• 4.5

Which of the following rounding strategies mitigates rounding bias the best?

• Round half away from zero

• Round half up

• Truncate

• Round half to even

• Round down

Why does round(-1.225, 2) return -1.23 when it should return -1.22?

• There is a bug in Python

• Trick question. round(-1.225, 2) does return -1.22!

• Floating point representation error

Assume you have the following Python list:

data = [0.15, -1.45, 3.65, -7.05, 2.45]

If you round every number in data to one decimal place using the “round half up” strategy, which of the following rounding biases is introduced?

• Round towards negative infinity bias

• Round towards zero bias

• No rounding bias is introduced

• Round towards positive infinity bias