Respuesta :
A the likelihood is small (0.31%), there is little chance that the alternative hypothesis is that section average is too low to simply be due to change variation.
Define the term null hypothesis?
- The null hypothesis is a common statistical theory that contends that there is no statistical relationship or significance between any two sets of observed data with measured phenomena for any given single observed variable.
There are 900 students.
Number of student = 900
Average of class(μ) = 62
Student contained in section (n) = 30
Standard deviation = 20
Average for other section = 52
To determine the likelihood that the final average will be lower than 52.
Now,
P(x < 52)
P(x - μ/ (s/√n)) < 52 - 62 / 20/√30)
P(z < -2.73)
P = 0.00317 (from regular table)
P = 0.31%
Since the likelihood is remote, there is the alternative hypothesis is that section average is too low to simply be due to change variation.
To know more about the null hypothesis, here
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