Confidence Intervals for the Mean

Difference between Means

You assume that the values were sampled independently of each other, the populations have the same variance (homogeneity of variance), and the populations are normally distributed.
df = (n1 - 1) + (n2 - 1) = (12 - 1) + (14 -1) = 24
Difference between means = 3 - 2 = 1; MSE = (1 + 1.2)/2 = 1.1; Standard error = sqrt(2(1.1)/11) = .447; df = 20; t = 1.725; Lower limit = 1 - (1.725)(.447) = 0.229
Enter this data into the Analysis Lab (or another statistical program). Your grouping variable (grade) should be composed of all 1's (1st graders) and 2's (2nd graders), and your dependent variable should contain the test scores. You should get the following confidence interval: (1.137, 5.263). If the statistical program calculates the mean of 1st - 2nd graders, you will have to reverse the confidence interval it gives you.

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()