Probability of Normal Distribution

Click For Summary
SUMMARY

The discussion centers on calculating the probability of a sample mean falling between 53 and 57 for a standardized test with a mean of 55 and a variance of 64. The user correctly identifies the population mean (μ = 55) and standard deviation (σ = 8). The calculation involves using the Z-score formula, resulting in P(-4 < Z < 4), which confirms that the probability is effectively 1 due to the large sample size of 256, thereby minimizing uncertainty in the mean.

PREREQUISITES
  • Understanding of normal distribution concepts
  • Familiarity with Z-scores and their calculation
  • Knowledge of sample mean and variance
  • Basic statistics, particularly the Central Limit Theorem
NEXT STEPS
  • Study the Central Limit Theorem in depth
  • Learn about calculating probabilities using Z-scores
  • Explore the implications of sample size on statistical accuracy
  • Review normal distribution properties and applications
USEFUL FOR

Students in statistics, educators teaching probability, and professionals in data analysis who require a solid understanding of normal distribution and sample mean calculations.

needhelp83
Messages
193
Reaction score
0
Test scores on a standardized test have mean 55 and variance 64. What is the probability that a random sample of 256 scores will have a sample mean score between 53 and 57

I attempted the problem and came up with this:
u=55 and sd = 8 (Square root of 64)
\mu=55 \sigma=\sqrt{64}=8
P(53&lt; \bar{X} &lt; 57) = P(\frac{53-55}{\frac{8}{\sqrt{256}}}&lt;Z&lt;\frac{57-55}{\frac{8}{\sqrt{256}}})=P(-4&lt;Z&lt;4)

What am I doing wrong?
 
Physics news on Phys.org
Your work looks fine to me. Why do you think there's something wrong?
 
I felt like it was off because 4 is off the charts, so I figured I managed to perform a miscalculation somewhere
 
Yeah, I know the feeling. These statistics and probability problems can really test your intuition quite a bit.
 
\Phi(4)-\Phi(-4) = 1 - 0 =1

So is this correct?
 
Yes, to the accuracy of four decimal places. The large sample size really narrows down the uncertainty in the mean.
 
Ok, thanks for the explanation. That makes sense
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
990
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 15 ·
Replies
15
Views
2K