What does the "bin width" of a histogram refer to?

Bin width is another name for the width of each class interval.
false
The range of scores.
false
The average class frequency.
false
The amount of "skew" shown by the distribution.
true
The size of each class interval.
true
If your data includes 4000 observations, how many intervals does Sturgis' rule recommend for your histogram?

Sturgis' rule sets the number of intervals as close as possible to 1 + Log2(N), where Log2(N) is the base 2 log of the number of observations.
false
We should have 12 intervals, because 12 is the base 2 logarithm of 4096.
false
We should have 14 intervals because this is 1 more than the base 2 logarithm of 4000.
false
We should have 11 intervals because this is 1 less than the base 2 logarithm of 4000.
true
Sturgis' rule recommends 13 intervals because this is one more than the base 2 logarithm of 4096 (which is close to the actual number of observations.
true