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The t value for a 95% confidence interval with 24 degrees of freedom is Select one: O 1.711 O 2.492 O 3.11 2.064 Clear my choice

The t value for a 95% confidence interval with 24 degrees of freedom is Select one: O 1.711 O 2.492 O 3.11 2.064 Clear my choice

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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### Determining the t Value for a 95% Confidence Interval #### Question: The t value for a 95% confidence interval with 24 degrees of freedom is: #### Options: - 1.711 - 2.492 - 3.11 - **2.064** (Selected) #### Explanation: To find the t value for a specific confidence interval and degree of freedom, one typically refers to a t-distribution table or uses statistical software. In this case, for a 95% confidence interval with 24 degrees of freedom, the correct t value is **2.064**. #### Note: Confidence intervals are used to estimate the range within which a population parameter is expected to fall, given a sample statistic. The degrees of freedom generally relate to the number of values in the final calculation that are free to vary. This concept is fundamental in various statistical analyses, particularly when working with smaller sample sizes. #### Action: If you need to change your choice, you can click on **Clear my choice** and select a different option.
Transcribed Image Text:### Determining the t Value for a 95% Confidence Interval #### Question: The t value for a 95% confidence interval with 24 degrees of freedom is: #### Options: - 1.711 - 2.492 - 3.11 - **2.064** (Selected) #### Explanation: To find the t value for a specific confidence interval and degree of freedom, one typically refers to a t-distribution table or uses statistical software. In this case, for a 95% confidence interval with 24 degrees of freedom, the correct t value is **2.064**. #### Note: Confidence intervals are used to estimate the range within which a population parameter is expected to fall, given a sample statistic. The degrees of freedom generally relate to the number of values in the final calculation that are free to vary. This concept is fundamental in various statistical analyses, particularly when working with smaller sample sizes. #### Action: If you need to change your choice, you can click on **Clear my choice** and select a different option.
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