Help with 2 Probability Problems, should be simple for most

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In summary, the pass mark for Question 1 is 45%. For Question 2, the students needed to score at least 112% to be awarded an A.
  • #1
maccaman
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The probability questions are pretty much the same, and i have trouble with these ones

Question 1
The marks in a maths exam are normally distributed with a mean of 52 and a s.d. of 14. The number of marks alotted to each candidate is integral. If 30.85% of the candidates fail, what is the pass mark?

Question 2
In a certain exam, the class average was 55% and the s.d. was 19. If the teacher wanted to award the top 1% a grading of A, find the percentage the students had to score to be given an A.

Any help would be greatly appreciated, thanks
 
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  • #2
maccaman said:
The probability questions are pretty much the same, and i have trouble with these ones

Question 1
The marks in a maths exam are normally distributed with a mean of 52 and a s.d. of 14. The number of marks alotted to each candidate is integral. If 30.85% of the candidates fail, what is the pass mark?
The pass mark is the mark below which 30.85% of the people scored. Now, with a normally distributed sample of data, regardless of the actual values for mean and s.d., there will always be 68% of the data within 1 standard deviaition from the mean. So, in this example, we know that 68% of students had marks between 52-14 and 52+14, or 38 and 66. That's for 1 standard deviation. If you chose 1.234 standard deviations, then there would some other fixed percentage of data (greater than 68%) within that range, the range being from (52 - 14*1.234) and (52 + 14*1.234).

But if we guess 1 standard deviation, with 68% of people within 1 s.d. of the mean, that means that 32% of people are outisde that range. This means that 16% are below that range, and 16% are above that range. However, we want it so that 30.85% of people are below that range. This also means that 30.85% are above that range, and in total, 61.70% of people are outside that range. So we need to find x, where where 38.3% of people lie within x standard deviations of the mean. Find this, and the answer to your question would be the lower boudn of the range (the pass/fail mark) which would be 52 - 14x. Now, how do you find x? That's very difficult. Oh, of course, if you do find x, and 52-14x turns out not to be an integer, then you'll have to round up to find the pass mark. As far as I know, to find x, you'd plug "0.3830" into "CI" in the following equation:

[tex]x = \sqrt{2} \mathop{\rm erf}\nolimits ^{-1} (CI)[/tex]

Where erf^(-1) is the Inverse erf function (erf stands for error function I think) which is a complicated function. Truth is, I don't know how you'd get a nice answer, I'd *guess* x = 1/2., and so the pass mark is 45, but that's just a guess.

Question 2
In a certain exam, the class average was 55% and the s.d. was 19. If the teacher wanted to award the top 1% a grading of A, find the percentage the students had to score to be given an A.

Any help would be greatly appreciated, thanks
Same idea, find the x so that 98% of the data (or CI = 0.98), then your answer is 55 + 19x. Again, I would *guess* x is 3, that is, 98% of the data lies within 3 s.d. of the mean, so 2% lie outside. This means 1% lies below, and 1% lies above, and that's what we want (only 1% with marks high enough to get this grade). So 55 + 19(3) = 112. Clearly, a bad guess because there's no way a student will get 112%, so I don't know how to help you. It would be nice if you had a table of values that correspond CI's to x's.
 
  • #3
we have answers to these btw, just not the worked solutions. On the sheet it says the pass mark is 45%, i.e. what you got. Although I've never seen it done the way youve done it, thanks. Yeh we also have the table of values in our textbook, so we must use this http://www.statsoftinc.com/textbook/sttable.html
 
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  • #4
maccaman said:
we have answers to these btw, just not the worked solutions. On the sheet it says the pass mark is 45%, i.e. what you got. Although I've never seen it done the way youve done it, thanks.
:wink: I guessed.
Yeh we also have the table of values in our textbook, so we must use this http://www.statsoftinc.com/textbook/sttable.html
Yeah, with that you'll be fine.
 
  • #5
ive solved it
mean = 52, s.d. = 14

Using normal approximation, the area below the z score is 0.3085. so to find the z score:

0.5 - 0.3085 = 0.1915

by looking at the table, this is equal to a z score of 0.5. Because it is in the lower half, it is -0.5.

To find the x score

z = (x - mean) / s.d.
-0.5 = (x - 52) / 14
-7 = x - 52
x = 45
 

1. What is probability?

Probability is the measure of the likelihood of an event occurring. It is represented as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

2. How do you calculate probability?

To calculate probability, you divide the number of favorable outcomes by the total number of possible outcomes. The resulting decimal can then be converted to a percentage if desired.

3. What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations, while experimental probability is based on actual observations or experiments. Theoretical probability can be used to predict outcomes, while experimental probability is used to analyze past events.

4. How do you calculate the probability of multiple events occurring?

To calculate the probability of multiple events occurring, you multiply the probabilities of each individual event. This is known as the multiplication rule.

5. What is the difference between independent and dependent events?

Independent events are events where the occurrence of one event does not affect the probability of the other event. Dependent events are events where the occurrence of one event does affect the probability of the other event.

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