Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.82 0.87 0.88 1.03 1.11 1.12 1.29 1.30 1.48 1.48 1.61 1.63 1.64 1.72 1.74 1.85 In USE SALT Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.82 0.87 0.88 1.03 1.11 1.12 1.29 1.30 z percentile -1.86 -1.34 Sample observation 1.48 1.48 1.61 1.63 1.64 1.72 1.74 1.85 z percentile
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.82 0.87 0.88 1.03 1.11 1.12 1.29 1.30 1.48 1.48 1.61 1.63 1.64 1.72 1.74 1.85 In USE SALT Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.82 0.87 0.88 1.03 1.11 1.12 1.29 1.30 z percentile -1.86 -1.34 Sample observation 1.48 1.48 1.61 1.63 1.64 1.72 1.74 1.85 z percentile
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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Transcribed Image Text:**Construct a Normal Probability Plot for Low-Viscosity Paint Coating Thickness**
You are provided with a sample of observations for the coating thickness of low-viscosity paint. The goal is to construct a normal probability plot for these observations.
**Sample Observations**:
- Group 1: 0.82, 0.87, 0.88, 1.03, 1.11, 1.12, 1.29, 1.30
- Group 2: 1.48, 1.48, 1.61, 1.63, 1.64, 1.72, 1.74, 1.85
**Instructions**: Use statistical tools as needed to determine the z percentile associated with each sample observation. Round your answers to two decimal places.
**Sample Observations with Corresponding z Percentiles**:
- 0.82: z percentile = -1.86
- 0.87: z percentile = -1.34
(Note: One of the entries has been marked correct and another incorrect in a hypothetical scenario for learning purposes.)
**Graphs/Diagrams**:
There are no specific graphs or diagrams attached to this exercise. You are expected to further analyze these datasets, potentially using digital tools to plot the data on a normal distribution curve and ascertain the fit.
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