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

When discussing a histogram, what does "bin width" mean?

The term "bin width" refers to what aspect of a histogram?

If someone uses the term "bin width" in connection with a histogram, what
are they referring to?

Bin width is another name for the width of each class interval.
false
The range of scores.
The result of subtracting the smallest observation from the largest.
The range of scores after allowing for some "padding."
false
The average class frequency.
The average relative frequency of each class.
The average number of scores falling into each interval.
false
The amount of "skew" shown by the distribution.
A measure of "distribution skew".
The degree to which the distribution shown by the histogram is skewed.
true
The size of each class interval.
The difference between the top and bottom values of the class intervals.
The result of dividing the range of scores by the number of classes.
true
If your data includes 4000 observations, how many intervals does Sturges' rule recommend for your histogram?

Suppose that your data include 4000 observations, and you must choose the number of intervals to represent in your histogram. What does Sturges' rule recommend?

How many intervals does Sturges' rule recommend for your histogram if you have 4000 observations?

If you apply Sturges' rule to a data set including 4000 observations, how many intervals should your histogram have?

Thirteen intervals. Sturges' 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.
Since 12 is the base 2 logarithm of 4096 (which is close to 4000), we should choose 12 intervals.
We need 12 intervals because the base 2 logarithm of 4000 is 12.
The top of the box.
false
We should have 14 intervals because this is 1 more than the base 2 logarithm of 4000.
Fourteen intervals is Sturges' recommendation because 14 is 1 more than the base 2 logarithm of 4096 (which is close to 4000).
The base 2 logarithm of 4096 (which is close to 4000) is 13, so Sturges' rule recommends 13 + 1 or 14 intervals.
false
We should have 11 intervals because this is 1 less than the base 2 logarithm of 4000.
Eleven intervals is Sturges' recommendation because 11 is 1 less than the base 2 logarithm of 4096 (which is close to 4000).
The base 2 logarithm of 4096 (which is close to 4000) is 12, so Sturges' rule recommends 12 - 1 or eleven intervals.
true
The histogram should have 13 intervals according to Sturges' rule because this is one more than the base 2 logarithm of 4096.
According to Sturges' rule, there should be 13 intervals because the base 2 logarithm of 4096 (which is close to 4000) is 12.
Sturges' 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