The expected number is 500.
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
0.9699
Most likely, it means Standard Deviation. which is used in analyzing a set of data. See related link.* * * * *The Casio range, popular with GCSE and A level students in the UK, has a button marked SD. This is a toggle between decimal (D) and standard (S) form (fraction, pi).
The number of students is discrete. There is no number of students between 4 and 5.
3
about 25
68 % is about one standard deviation - so there score would be between 64 and 80 (72 +/- 8)
There are approximately 16.4% of students who score below 66 on the exam.
Standard deviation is 0.
Standard deviation is used to measure the variability or dispersion of students' results around the mean score. By calculating the standard deviation for each group of students, educators can understand how consistently students performed relative to the average. A lower standard deviation indicates that students' scores are clustered closely around the mean, suggesting similar performance, while a higher standard deviation indicates greater variability in results. This analysis helps identify students who may need additional support or those who excel beyond their peers.
To see how wide spread the results are. If the average (mean) grade for a certain test is 60 percent and the standard deviation is 30, then about half of the students are not studying. But if the mean is 60 and the standard deviation is 5 then the teacher is doing something wrong.
The sample size is likely to be too small.
It is the sample mean age of 21.7.
The null hypothesis could be that the 40 students are a sample from the same (or similar) population.
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
i y=use Z-test
(x-400)/100=1.882 x=588.2