Finding the Critical Value

Oct 13, 2025 by talynt.org 27 views

What is the Critical Value $t$ for Constructing a 90% Confidence Interval for a Mean with 6 Degrees of Freedom?

When constructing a confidence interval for a mean, it is essential to determine the critical value of the t-distribution. This value depends on the desired confidence level and the degrees of freedom. In this article, we will focus on finding the critical value of the t-distribution for a 90% confidence interval with 6 degrees of freedom.

Understanding the t-Distribution

The t-distribution is a probability distribution that is used to estimate the population mean when the sample size is small. It is a continuous distribution that is similar to the standard normal distribution but has a slightly different shape. The t-distribution is characterized by its degrees of freedom, which is the number of observations in the sample minus one.

Degrees of Freedom

The degrees of freedom for a t-distribution is calculated as follows:

n = sample size
df = n - 1

In this case, we have a sample size of 7 (since we have 6 degrees of freedom), so the degrees of freedom is 6.

Critical Value of the t-Distribution

The critical value of the t-distribution is the value that separates the rejection region from the non-rejection region. It is a value that is used to determine whether the null hypothesis should be rejected or not.

To find the critical value of the t-distribution, we need to use a t-distribution table or a calculator. The critical value depends on the desired confidence level and the degrees of freedom.

90% Confidence Interval

A 90% confidence interval is an interval that is likely to contain the true population mean with a probability of 0.90. To construct a 90% confidence interval, we need to find the critical value of the t-distribution for a 90% confidence level with 6 degrees of freedom.

Finding the Critical Value

Using a t-distribution table or a calculator, we can find the critical value of the t-distribution for a 90% confidence level with 6 degrees of freedom.

t-distribution table	df	t
	6	1.440

The critical value of the t-distribution for a 90% confidence level with 6 degrees of freedom is 1.440.

In conclusion, the critical value of the t-distribution for constructing a 90% confidence interval for a mean with 6 degrees of freedom is 1.440. This value is used to determine the rejection region and to construct a 90% confidence interval.

The correct answer is:

A. $t = 1.440$

[1] "t-Distribution" by Wikipedia. Retrieved February 2023.
[2] "Confidence Intervals" by Stat Trek. Retrieved February 2023.
[3] "t-Distribution Table" by Stat Trek. Retrieved February 2023.
Q&A: Critical Value of the t-Distribution for Constructing a 90% Confidence Interval

In our previous article, we discussed the critical value of the t-distribution for constructing a 90% confidence interval for a mean with 6 degrees of freedom. In this article, we will provide a Q&A section to help clarify any doubts and provide additional information on the topic.

Q: What is the t-distribution?

A: The t-distribution is a probability distribution that is used to estimate the population mean when the sample size is small. It is a continuous distribution that is similar to the standard normal distribution but has a slightly different shape.

Q: What are the degrees of freedom for the t-distribution?

A: The degrees of freedom for the t-distribution is calculated as follows:

n = sample size
df = n - 1

In this case, we have a sample size of 7 (since we have 6 degrees of freedom), so the degrees of freedom is 6.

Q: How do I find the critical value of the t-distribution?

A: To find the critical value of the t-distribution, you can use a t-distribution table or a calculator. The critical value depends on the desired confidence level and the degrees of freedom.

Q: What is the critical value of the t-distribution for a 90% confidence level with 6 degrees of freedom?

A: The critical value of the t-distribution for a 90% confidence level with 6 degrees of freedom is 1.440.

Q: How do I use the critical value to construct a 90% confidence interval?

A: To construct a 90% confidence interval, you need to use the critical value of the t-distribution to determine the rejection region. The rejection region is the region where the null hypothesis is rejected.

Q: What is the rejection region?

A: The rejection region is the region where the null hypothesis is rejected. It is the region where the observed value of the test statistic falls.

Q: How do I determine the rejection region?

A: To determine the rejection region, you need to use the critical value of the t-distribution. The critical value is the value that separates the rejection region from the non-rejection region.

Q: What is the non-rejection region?

A: The non-rejection region is the region where the null hypothesis is not rejected. It is the region where the observed value of the test statistic does not fall.

Q: How do I use the non-rejection region to construct a 90% confidence interval?

A: To construct a 90% confidence interval, you need to use the non-rejection region to determine the interval. The interval is the region where the true population mean is likely to fall.

Q: What is the 90% confidence interval?

A: The 90% confidence interval is an interval that is likely to contain the true population mean with a probability of 0.90.

In conclusion, the critical value of the t-distribution for constructing a 90% confidence interval for a mean with 6 degrees of freedom is 1.440. We hope that this Q&A section has helped to clarify any doubts and provide additional information on the topic.

[1] "t-Distribution" by Wikipedia. Retrieved February 2023.
[2] "Confidence Intervals" by Stat Trek. Retrieved February 2023.
[3] "t-Distribution Table" by Stat Trek. Retrieved February 2023.