Confidence interval/Hypothesis test for standard deviation

In summary, the conversation discusses a problem involving a random sample of students from College A and their SAT scores. The sample mean is 548 and the sample standard deviation is 57. Part a asks to find a 98% confidence interval for the standard deviation of all students at the college, while part b asks if the data supports the principal's claim that the standard deviation of SAT scores at the college is 48. The relationship between confidence intervals and hypothesis testing is discussed, with the conclusion that for two-tailed tests, the test statistic is just a rearrangement of the confidence interval.
  • #1
kingwinner
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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!
 
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  • #2
So my key question here is: Does the similar relationship between confidence interval and hypothesis testing also hold for μ1-μ2 and σ ?
 
  • #3
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.
 

Related to Confidence interval/Hypothesis test for standard deviation

1. What is a confidence interval for standard deviation?

A confidence interval for standard deviation is a range of values that is likely to contain the true population standard deviation with a certain level of confidence. It is a measure of uncertainty and provides a more accurate estimate of the population standard deviation than a single point estimate.

2. How is a confidence interval for standard deviation calculated?

The confidence interval for standard deviation is calculated using the sample standard deviation, sample size, and a critical value from a t-distribution or z-distribution. The formula is as follows: standard deviation ± (critical value)(standard error). The critical value is based on the chosen confidence level and degrees of freedom, and the standard error is calculated as the sample standard deviation divided by the square root of the sample size.

3. What is the purpose of a hypothesis test for standard deviation?

The purpose of a hypothesis test for standard deviation is to determine whether there is enough evidence to reject or fail to reject a null hypothesis about the population standard deviation. This can help to make conclusions about the variability of a population and to compare the standard deviations of two populations.

4. How is a hypothesis test for standard deviation conducted?

A hypothesis test for standard deviation is conducted by formulating a null hypothesis and an alternative hypothesis, choosing a significance level, calculating a test statistic, and comparing it to a critical value from a chi-square distribution. The test statistic is calculated using the sample standard deviation, sample size, and a hypothesized value of the population standard deviation.

5. What is the difference between a one-tailed and two-tailed hypothesis test for standard deviation?

In a one-tailed hypothesis test for standard deviation, the alternative hypothesis states a specific direction of difference between the hypothesized and sample standard deviations (e.g. the population standard deviation is greater than the hypothesized value). In a two-tailed hypothesis test, the alternative hypothesis does not specify a direction of difference (e.g. the population standard deviation is not equal to the hypothesized value). The choice between a one-tailed or two-tailed test depends on the research question and the direction of the expected difference.

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