these things like “may” and “could”, etc. Are difficult to measure. But let’s make up an example.
1 in 10 students gets distracted from an annoying loud sound outside the classroom every once in a while. And for about half of them it results in them not being able to follow math class properly.
That results in about 5% of students (half of 1 in 10) to get lower grades. Unfortunate, and unnecessary.
Some things are hard to measure down to the tiny detail and with 100% accuracy. That’s why we compare scores from classrooms with different noise levels over the year and use claims like “a% to b% of students”.
While not super precise, it still shows accurate results
these things like “may” and “could”, etc. Are difficult to measure. But let’s make up an example.
1 in 10 students gets distracted from an annoying loud sound outside the classroom every once in a while. And for about half of them it results in them not being able to follow math class properly.
That results in about 5% of students (half of 1 in 10) to get lower grades. Unfortunate, and unnecessary.
Some things are hard to measure down to the tiny detail and with 100% accuracy. That’s why we compare scores from classrooms with different noise levels over the year and use claims like “a% to b% of students”.
While not super precise, it still shows accurate results