You’re a human factors engineer examining the reaction time of pilots to two different instrument panel layouts (A, B). You asked eight pilots to undergo a simulated disruption scenario, and you recorded their reaction time (in seconds) to resolve the scenario using layout A. You asked the same of 11 pilots for layout B. Sample statistics are below. Assume the variances are sufficiently different. Use the critical value approach considering 0.05 significance.
You’re a human factors engineer examining the reaction time of pilots to two different instrument panel layouts (A, B). You asked eight pilots to undergo a simulated disruption scenario, and you recorded their reaction time (in seconds) to resolve the scenario using layout A. You asked the same of 11 pilots for layout B. Sample statistics are below. Assume the variances are sufficiently different. Use the critical value approach considering 0.05 significance.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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You’re a human factors engineer examining the reaction time of pilots to two different
instrument panel layouts (A, B). You asked eight pilots to undergo a simulated disruption
scenario, and you recorded their reaction time (in seconds) to resolve the scenario using layout
A. You asked the same of 11 pilots for layout B. Sample statistics are below. Assume the
variances are sufficiently different. Use the critical value approach considering 0.05 significance.
Transcribed Image Text:The table presents data comparing two different layouts, A and B. It includes three columns of information for each layout:
1. **Layout**: This column identifies the layout type, either A or B.
2. **n**: Represents the sample size for each layout. Layout A has a sample size of 8, while Layout B has a sample size of 11.
3. **\(\bar{y}\)**: Denotes the mean (average) value for each layout. The mean for Layout A is 14.7, and the mean for Layout B is 16.4.
4. **s**: Indicates the standard deviation for each layout, which measures the amount of variation or dispersion in the data. The standard deviation for Layout A is 0.8, and for Layout B, it is 2.1.
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