Solve Normal Distrib. Homework: X mean 10, stdev 2, P(X<X<10)=0.2

In summary, the problem involves finding the value for x that solves P(x < X < 10) = 0.2, given that X is normally distributed with a mean of 10 and a standard deviation of 2. The solution involves converting the problem to a standard normal distribution, finding the appropriate z-value, and then converting back to the original random variable X. The correct z-value for P(Z < z) = 0.3 is approximately -0.525, which corresponds to an x-value of 8.95. The error in the original solution was due to using the wrong z-value.
  • #1
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Homework Statement



Assume X is normally distributed with a mean of 10 and a standard deviation of 2. Determine the value for x that solves P(x < X < 10) = 0.2

Homework Equations



P(X < x) = P(Z < z) = P(Z < (x - mean)/stdev)

The Attempt at a Solution



P(X < 10) - P(X < x) = 0.2
P(Z < (10-10)/2) - P(Z < (x-10)/2) = 0.2
P(Z < 0) - P(Z < (x-10)/2) = 0.2
0.5 - P(Z < (x-10)/2) = 0.2
P(Z < (x-10)/2) = 0.3
(x-10)/2 = 0.617911
x - 10 = 1.235822
x = 11.235822

The answer doesn't make sense. x is supposed to be smaller than 10.
 
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  • #2
P(x < X < 10) = 0.2 <==> P(z < Z < 0) = 0.2, where Z is the usual standard normal distribution.

From a table of areas under the standard normal distribution, I find a z value of about -.525.

z = (x - 10)/2 ==> 2z = x - 10 ==> x = 2z + 10

Substituting the value of z = -.525 that I found earlier, I get an x value of 8.95.

So, P(8.95 < X < 10) = 0.2, approximately
 
  • #3
So when I tried to solve the problem, what did I do wrong?
 
  • #4
6021023 said:

The Attempt at a Solution



P(X < 10) - P(X < x) = 0.2
P(Z < (10-10)/2) - P(Z < (x-10)/2) = 0.2
P(Z < 0) - P(Z < (x-10)/2) = 0.2
0.5 - P(Z < (x-10)/2) = 0.2
P(Z < (x-10)/2) = 0.3
Your error is in the next line. Your z-value (which is what you're getting from the table) should be negative. Apparently you picked the wrong value. If you recall, my value was -.525.
6021023 said:
(x-10)/2 = 0.617911
x - 10 = 1.235822
x = 11.235822

In working these kinds of problems, I find that it is much easier to switch right away to a probability involving z (or t, or whatever), do my calculation and look up the value, and then change back to the original random variable X.

Mark
 
  • #5
I checked my book again, and it shows that the z value for 0.3 is 0.511967. Is that incorrect?
 
  • #6
I think you might be using your table incorrectly. The table I used has probability values (areas under the bell curve) only to 4 decimal places, but that's just a detail.

For z = 0.3, my table shows a probability of 0.6179.
For z = 1.0, it shows 0.8413.
 
  • #7
Yes, I was looking at the table incorrectly. For z = 0.3, the probability is 0.617911. This is similar to what you got and it's what I originally found.

So for z = 0.3, if the probability is 0.617911, then shouldn't the following steps be correct?

P(Z < (x-10)/2) = 0.3
(x-10)/2 = 0.617911
 
  • #8
No. Since the probability P(Z < zp) = 0.3 (zp is the particular z value you're looking for), you have to be looking for a z-value in the left half of the bell curve. IOW, for negative values of z. Keep in mind that for z = 0, half of the area is to the left, and half to the right.

If you're not working with a sketch of the bell curve, with the area you want shaded in, you should be.
 
  • #9
Why does it have to be in the left half of the curve? 0.3 is still a positive number. What part in my answer should I change, and how should I change it?
 
  • #10
Because you want P(Z < zp) = 0.3. This probability represents the area under the bell curve from z = [itex]-\infty[/itex] to some z value to the left of zero. If the inequality went the other way, as in P(Z > zp) = 0.3, you would be looking for a positive z-value.

If you had to solve P(Z < zp) = .5, what would you get for what I'm calling zp?
 
  • #11
For P(Z < zp) = .5
zp = 0.691462
 
  • #12
No. zp = 0
I don't think you get the connection between probability and area under the bell curve. For example, P(-1 < Z < 0) represents the area under the curve between z = -1 and z = 0. The area/probability is about .34.
 
  • #13
I thought that the probability is the area under the curve.

Although now I can see how you're using the table. So I guess for P(Z < zp) = .3, then zp = -0.53 or -0.52?
 
  • #14
6021023 said:
I thought that the probability is the area under the curve.

Although now I can see how you're using the table. So I guess for P(Z < zp) = .3, then zp = -0.53 or -0.52?

Yes, probability is the area under the curve, but if you have a probability like P(Z< a), the probability is the area under the curve between z = [itex]-\infty[/itex] and z = a. If it's a probability like P(a < Z < b), it's the area under the curve between z = a and z = b. Finally, for a probability like P(Z > b), it's the area under the curve from z = a to z = [itex]\infty[/itex].

As for the values, if you recall, I first said that it was about -.525.
 
  • #15
What I was asking is how do you know if the answer is -0.53 or -0.52? The z value doesn't correspond to one of those numbers but rather a number in between. Which value do I use, or does it not matter?
 
  • #16
Since the probability I was looking for was about midway between those numbers, I interpolated to get -.525, which is a better choice than either -.52 or -.53.

If you want to find out more about this, do a search on "linear interpolation."
 
  • #17
I think I've pretty much got this problem figured out now. Thanks!
 

FAQ: Solve Normal Distrib. Homework: X mean 10, stdev 2, P(X<X<10)=0.2

What does "X mean 10" mean in the given problem?

"X mean 10" indicates that the mean or average value of the random variable X is equal to 10.

What does "stdev 2" represent in this problem?

"stdev 2" represents the standard deviation of the random variable X, which measures the spread or variability of the data around the mean. In this case, it tells us that the data points are, on average, 2 units away from the mean.

How do I interpret the notation "P(X

The notation "P(X

How do I solve this problem using the normal distribution?

To solve this problem, we can use the normal distribution formula, which states that the probability of a value falling within a certain range of the mean can be calculated by finding the area under the normal curve between those two values. In this case, we would use the mean of 10 and the standard deviation of 2 to find the probability that X falls between X and 10.

Is there a shortcut to solving this problem?

Yes, there is a shortcut called the Z-score, which can be used to quickly find probabilities in a normal distribution. The Z-score represents the number of standard deviations a data point is away from the mean. By converting the values in this problem to Z-scores, we can use a table or calculator to find the probability that X falls between X and 10.

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