Inferential Statistics for b and r

The assumptions are linearity, homoscedasticity, and normally distributed errors. See the text for more information.
Use the table in this section or the inverse t distribution calculator to find that the critical value is t(N-2) = t(10) = 2.23. The upper limit of the 95% CI = b + (t)(sb) = .8 + 2.23(.3) = 1.47.
t = (r) sqrt(N-2)/sqrt(1-r²) = (0.5) sqrt(18)/sqrt(1-.25) = 2.45 (This is significant at the .05 level.)
First, convert r to z' (so .75 -> .973). The standard error of z' is 1/sqrt(N-3) = .213. Lower limit of CI = .973 - 1.96(.213) = 0.556. Now convert back from z' to r. r = .505

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()