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anonymous
 one year ago
Please help........
The 75th percentile on a test corresponded to a score of 700, while the 25th percentile corresponded to a score of 450.
Which is greater, or equal or no solution.
A. 800
B. A 95th percentile score
anonymous
 one year ago
Please help........ The 75th percentile on a test corresponded to a score of 700, while the 25th percentile corresponded to a score of 450. Which is greater, or equal or no solution. A. 800 B. A 95th percentile score

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anonymous
 one year ago
Best ResponseYou've already chosen the best response.0.... i dont need the answer i need an explanation

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Hi. Are you still here? :)

phi
 one year ago
Best ResponseYou've already chosen the best response.1I think we must assume it is a normal distribution Based on the info 50% of the area under the curve (i.e. from 25% to 75%) is between 450 and 700

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0yea its a normal distribution

phi
 one year ago
Best ResponseYou've already chosen the best response.1the mean will be exactly in the middle of 450 and 700 that will be the average of those two numbers 1150/2 = 575 using a ztable, we find that 50% of the area is between 0.674 and + 0.674 std deviations the difference from the mean 575 to 700 is 125 so the 175 corresponds to 0.674 std deviations we can find the std deviation using a proportion \[ \frac{125 }{0.674}= \frac{x}{1} \] x= 185 (roughly)

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0well the answer is no solution i want to understand why that is.

phi
 one year ago
Best ResponseYou've already chosen the best response.1If we know it is a normal distribution it seems we can answer the question

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0oh ... im so confused hang on let me type what it says

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Scoring Scales on a test are not necessarily linear, so while it may look like you can line up the difference in percentiles with the difference in score, you cannot make any predictions about other percentiles. For all you know 750 could be the 95th percentile score or 963 could be. All you know is that 25% of the scores are <= 450, while 50% of the scores are > 450 and <=700, and 25% of the scores are >700.

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0yea.. but i don't understand...

phi
 one year ago
Best ResponseYou've already chosen the best response.1is there any more to the question?

phi
 one year ago
Best ResponseYou've already chosen the best response.1ok the only way to answer the question is you need to know what percent go with what score (in particular for what percent are below the score 800) and we then compare that to 95% If they do not tell us this info, then we can't answer the question. However, if they told us the test results were "normally distributed" that is a clue that let's us figure out the answer. (because all normal distributions have the same statistics, and we have ztables) if we are not told the test is normally distributed, then we don't have enough info.

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0ohhh hmmm okay so basically they have to mention that it's a normal distribution?

phi
 one year ago
Best ResponseYou've already chosen the best response.1or they have to tell us the distribution (there are other kinds ) or they have to give a table. when you posted the question, notice the first thing I asked was: I think we must assume it is a normal distribution (I was guessing you left that out of the question), because I know you can't answer the question unless we know more than what was given.

phi
 one year ago
Best ResponseYou've already chosen the best response.1Not a criticism, just explaining the way I think.

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0got it yea i think i understand now thanks phi!!!
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