Confidence interval/Hypothesis test for standard deviation

Click For Summary
SUMMARY

The discussion focuses on calculating a 98% confidence interval for the standard deviation of SAT scores from a sample of 26 students at College A, where the sample mean is 548 and the sample standard deviation is 57. The principal claims that the standard deviation is 48, leading to a hypothesis test where H0: σ² = 48² and Ha: σ² ≠ 48². Participants confirm that the relationship between confidence intervals and hypothesis testing applies to standard deviations, particularly in two-tailed tests, where the test statistic is a rearrangement of the confidence interval formula.

PREREQUISITES
  • Understanding of confidence intervals and hypothesis testing
  • Familiarity with normal distribution properties
  • Knowledge of statistical formulas for standard deviation
  • Experience with two-tailed and one-tailed tests
NEXT STEPS
  • Learn how to calculate confidence intervals for standard deviations using Chi-Square distribution
  • Explore hypothesis testing for variance using statistical software like R or Python
  • Study the differences between one-tailed and two-tailed tests in hypothesis testing
  • Investigate the application of confidence intervals in real-world data analysis scenarios
USEFUL FOR

Statisticians, data analysts, and students studying inferential statistics who need to understand the relationship between confidence intervals and hypothesis testing for standard deviations.

kingwinner
Messages
1,266
Reaction score
0

Homework Statement


1) A random sample of 26 students who are enrolled in College A was taken and their SAT scores were recorded. The sample mean is 548 and the sample standard deviation is s=57. Assume population is normally distributed.

a) Find a 98% confdience interval for the standard deviation of SAT scores of all the students who are enrolled in College A.

b) The principal of College A claims that the standard deviation of SAT scores of studnets in her college is 48. Does the data support the principal's claim? Justify.


Homework Equations


Hypothesis testing/Confidence intervals


The Attempt at a Solution


I am OK with part a, but have some concerns about part b.

For part b, is it a hypothesis testing (H_o: σ^2 = 48^2, H_a: σ^2 ≠ 48^2) problem or is it a confidence interval problem? Can it be answered solely by using confidence interval? I have seen a theorem saying that "reject H_o: μ=μ_o at the level alpha if and only if μ_o falls outside the 100(1-alpha)% confidence interval for μ", but that's just for μ. Does it also hold for μ1-μ2 and σ ?

Thank you!
 
Physics news on Phys.org
So my key question here is: Does the similar relationship between confidence interval and hypothesis testing also hold for μ1-μ2 and σ ?
 
kingwinner said:
So my key question here is: Does the similar relationship between confidence interval and hypothesis testing also hold for μ1-μ2 and σ ?

Yes for two-tailed tests. If you look at the formulas, you can see the test statistic is just a rearrangement of the CI.

For proportion p, the formulas are slightly different, but you can still use the CI method.

One-tailed tests, as with μ, would need "one sided confidence intervals" or "confidence rays" whatever you want to call them.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
13
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 21 ·
Replies
21
Views
3K