Degrees of Freedom In general, what does “degrees of freedom” refer to? For the sample data described in Exercise 7 “Requirements,” find the number of degrees of freedom, assuming that you want to construct a confidence interval estimate of u using the t distribution.
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
7. Sampling Distributions & Confidence Intervals: Mean
Confidence Intervals for Population Mean
Problem 2b
Textbook Question
In Exercises 1–4, refer to the accompanying screen display that results from a simple random sample of times (minutes) between eruptions of the Old Faithful geyser. The confidence level of 95% was used.

Degrees of Freedom
b. Find the critical value ta/2 corresponding to a 95% confidence level.

1
Step 1: Understand the problem. You are tasked with finding the critical value tα/2 corresponding to a 95% confidence level. This value is used in constructing confidence intervals when the sample size is small and the population standard deviation is unknown.
Step 2: Identify the degrees of freedom (df). The degrees of freedom for a t-distribution are calculated as df = n - 1, where n is the sample size. From the image, n = 36, so df = 36 - 1 = 35.
Step 3: Recognize the significance level (α). For a 95% confidence level, α = 1 - 0.95 = 0.05. Since the critical value tα/2 splits the remaining 5% equally in the two tails of the t-distribution, the area in each tail is α/2 = 0.05/2 = 0.025.
Step 4: Use a t-distribution table or statistical software to find the critical value tα/2. Look up the value corresponding to df = 35 and a tail probability of 0.025. Alternatively, use a calculator or software to compute this value.
Step 5: Interpret the critical value. The critical value tα/2 is the point on the t-distribution where the area to the right of it in the upper tail is 0.025. This value is used to calculate the margin of error in the confidence interval.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Confidence Interval
A confidence interval is a range of values, derived from sample statistics, that is likely to contain the true population parameter. It is expressed with a certain confidence level, such as 95%, indicating the probability that the interval will capture the true parameter if the same sampling method is repeated multiple times.
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Introduction to Confidence Intervals
Critical Value (tα/2)
The critical value tα/2 is a point on the t-distribution that corresponds to the desired confidence level. For a 95% confidence level, it represents the value that separates the most extreme 2.5% of the distribution on each tail, which is used to calculate the margin of error in constructing the confidence interval.
Recommended video:
Critical Values: t-Distribution
Degrees of Freedom
Degrees of freedom (df) refer to the number of independent values that can vary in a statistical calculation. In the context of t-distributions, it is typically calculated as n - 1, where n is the sample size. This concept is crucial for determining the appropriate critical value from the t-distribution table.
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Critical Values: t-Distribution
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