Central Limit Theorem Statistics Help? Any idea?
A teacher instituted a new reading program at school. After 10 weeks in the program, it was found that the mean reading speed of a random sample of 22 second grade students was 93.3 wpm. What might you conclude based on this result?
Hmm.. so we have \(\mu\) and \(\sigma\)
Sooo....
Is this the complete question ?
Well this is the last part of my question
Because we can't conclude anything unless we know the wpm of students in beginning :P
The reading speed of second grade students is approximately normal, with a mean of 91 words per minute (wpm) and a standard deviation of 10 wpm
That's the original question^^^ And the question I have asked is part of it.
Great! So now we have something...
All we are supposed to conclude is whether the course had a positive effect of speed of students or not
So how would I figure that out.
We have this formula: \(z = \cfrac{(x - \mu)}{\sigma / \sqrt(n)}\)
Where n will be the number of students
To see whether the course had a positive effect all we have to do is to find the probability that a random sample of 22 students in the original population having speed more than 93.3 wpm
Or wait.. you don't have to do anything :3
Lol this is such a bad time to confuse me.
Since the mean reading speed of the population has increased we can say that on average there is an increase in reading speed of the population
if you have done hypothesis testing you should do that
This is a new unit so I haven't really done anything.
Looks like I'm stuck too :/
Only thing that's coming into my mind is this: 1. Find out the probability that a random sample of 22 students of original population have wpm > 93.3 But what can we do with this.. I don't know :/
|dw:1458784570350:dw| Is that something I'd do?
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