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Question NO.2: Consider the following data in the table, 1. Find sample mean 2. Overall mean 3. Find MSTR

Question NO.2: Consider the following data in the table, 1. Find sample mean 2. Overall mean 3. Find MSTR

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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i=1 Xij nj - x)² MSTR = SSTR = -Źn,(x₁ - x)² SSTR k - 1 F = MSTR MSE X knj ΣΣXij j=1 i=1 nT MSE = WEIGHTED MEAN SSE = Σ(n, - 1)s jul SAMPLE MEAN STANDARD DEVIATION SSE nr k MSTR = SAMPLE VARIANCE Sample standard deviation = s = COEFFICIENT OF VARIATION 5² = k Σn, (x; - x)² Σw.xi Σwi Population standard deviation = o = √² 0 Mean MSE = =√₁² k - 1 Standard deviation Σ(n, - 1)s j=1 X = Σ(x; - x)² n-1 - k пт - Exi n X 100 % Enter 回车 Shift 上档 控制 Ctrl
Transcribed Image Text:i=1 Xij nj - x)² MSTR = SSTR = -Źn,(x₁ - x)² SSTR k - 1 F = MSTR MSE X knj ΣΣXij j=1 i=1 nT MSE = WEIGHTED MEAN SSE = Σ(n, - 1)s jul SAMPLE MEAN STANDARD DEVIATION SSE nr k MSTR = SAMPLE VARIANCE Sample standard deviation = s = COEFFICIENT OF VARIATION 5² = k Σn, (x; - x)² Σw.xi Σwi Population standard deviation = o = √² 0 Mean MSE = =√₁² k - 1 Standard deviation Σ(n, - 1)s j=1 X = Σ(x; - x)² n-1 - k пт - Exi n X 100 % Enter 回车 Shift 上档 控制 Ctrl
Question NO.2: Consider the following data in the table, 1. Find sample mean 2. Overall mean 3. Find MSTR 4. MSE 5. Test Statistic (F) Sample mean Sample variance Sample standard deviation A 58 64 55 66 67 62 27.5 5.244 Note: Formulas are given at the back side of the page Method B 58 69 71 64 68 66 26.5 5.148 C 48 57 59 47 49 52 31.0 5.568
Transcribed Image Text:Question NO.2: Consider the following data in the table, 1. Find sample mean 2. Overall mean 3. Find MSTR 4. MSE 5. Test Statistic (F) Sample mean Sample variance Sample standard deviation A 58 64 55 66 67 62 27.5 5.244 Note: Formulas are given at the back side of the page Method B 58 69 71 64 68 66 26.5 5.148 C 48 57 59 47 49 52 31.0 5.568
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