Continuous Random Variables

For a continuous random variable $X$ the only probabilities that are computed are those of $X$ taking a value in a specified interval.
The probability that $X$ take a value in a particular interval is the same whether or not the endpoints of the interval are included.
The probability $P(a < X < b)$ , that $X$ take a value in the interval from $a$ to $b$ , is the area of the region between the vertical lines through $a$ and $b$ , above the $x$ -axis, and below the graph of a function $f(x)$ called the density function.
A normally distributed random variable is one whose density function is a bell curve.
Every bell curve is symmetric about its mean and lies everywhere above the $x$ -axis, which it approaches asymptotically (arbitrarily closely without touching).

Callback before_footer in local_aigrade component should be migrated to new hook callback for core\hook\output\before_footer_html_generation

line 7225 of /lib/moodlelib.php: call to debugging()
line 7292 of /lib/moodlelib.php: call to {closure}()
line 71 of /lib/classes/hook/output/before_footer_html_generation.php: call to get_plugins_with_function()
line 987 of /lib/classes/output/core_renderer.php: call to core\hook\output\before_footer_html_generation->process_legacy_callbacks()
line 97 of /mod/book/tool/print/index.php: call to core\output\core_renderer->footer()