Confusion about using the t table or z table for confidence intervals

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Homework Help Overview

The discussion revolves around determining the appropriate statistical distribution to use for calculating confidence intervals based on a given dataset of PCB concentrations measured from fish. The original poster is confused about whether to use the t-table or the z-table, given the sample size and known standard deviation.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the implications of having a known standard deviation versus estimating it from sample data. There is a focus on the conditions under which the t-distribution is preferred over the z-distribution, particularly in relation to sample size and standard deviation availability.

Discussion Status

Some participants have provided clarifications regarding the use of the t-distribution and the importance of distinguishing between population parameters and sample statistics. There appears to be an ongoing exploration of these concepts, with participants raising further questions about specific scenarios involving different datasets.

Contextual Notes

The original poster mentions a small sample size of 10 measurements, while another participant refers to a separate dataset of 18 students' IQ scores, prompting questions about the estimation of standard deviation in different contexts.

Bill Nye Tho
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Here's the question:

The PCB concentration of a fis hcaught in Lake Michigan was measured by a technique that is known to result in an error of measurement that is normally distributed with a standard deviation of .08 ppm. Suppose the results of 10 independent measurements of this fish are:

11.2, 12.4, 10.8, 11.6, 12.5, 10.1, 11.0, 12.2, 12.4, 10.6

Give a 95 percent interval for the PCB level of this fish.

--------


So, I have a small sample size (10) and a normal distribution. I attempted to use the t-table for this solution but the solutions manual used the Z-distribution table. I can't figure out why.
 
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We have a known standard deviation. It should probably be .8 ppm typo? So the confidence interval is
$$\bar{x}-Z_{.95/2}\frac{\sigma}{\sqrt{n}}<\mu<\bar{x}+Z_{.95/2}\frac{\sigma}{\sqrt{n}}$$

If the standard deviation is not know, we use the sample standard deviation s to estimate it and the Student's t-distribution

$$\bar{x}-t_{.95/2}\frac{s}{\sqrt{n}}<\mu<\bar{x}+t_{.95/2}\frac{s}{\sqrt{n}}$$
 
lurflurf said:
We have a known standard deviation. It should probably be .8 ppm typo? So the confidence interval is
$$\bar{x}-Z_{.95/2}\frac{\sigma}{\sqrt{n}}<\mu<\bar{x}+Z_{.95/2}\frac{\sigma}{\sqrt{n}}$$

If the standard deviation is not know, we use the sample standard deviation s to estimate it and the Student's t-distribution

$$\bar{x}-t_{.95/2}\frac{s}{\sqrt{n}}<\mu<\bar{x}+t_{.95/2}\frac{s}{\sqrt{n}}$$

Thanks for the reply lurflurf!

That leads me to additional question. I'm given a data set of a sample of 18 students and their IQ scores. Why is the confidence interval for the mean IQ estimated with the Student's t-distribution. I can easily find the variance and the deviation from the data set.

What is the difference between finding the standard deviation myself and having it explicitly stated?
 
Bill Nye Tho said:
Thanks for the reply lurflurf!

That leads me to additional question. I'm given a data set of a sample of 18 students and their IQ scores. Why is the confidence interval for the mean IQ estimated with the Student's t-distribution. I can easily find the variance and the deviation from the data set.

What is the difference between finding the standard deviation myself and having it explicitly stated?


You can't find the standard deviation yourself. You CAN estimate the standard deviation using your sample.

The distinction between population parameters and sample statistics is very important. You won't get anywhere in statistics until you grasp this.
 
Hornbein said:
You can't find the standard deviation yourself. You CAN estimate the standard deviation using your sample.

The distinction between population parameters and sample statistics is very important. You won't get anywhere in statistics until you grasp this.

That just cleared up a whoooooole lot of this course for me.

Thanks for that!
 

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