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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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Question

Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and
the dependent variable is statistically significant?
ANOVA
Source
df
MS
F
Significance F
Regression
3
406.124504
135.374835
0.849953
0.497712
Residual
10
1592.732639
159.273264
Total
13 1998.857143
Copy Data
Answer
田 Tables
国 Keypad
Keyboard Shortcuts
O Yes
O No

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Of the 6 explanatory variables below, how many are not significant at the 1% level? Observations 1338 ANOVA df SS MS Significance F Regression Residual Total 1.472E+11 2.45E+10 668.1243171 1331 48874008927 36719766 1337 1.96074E+11 Coefficients Standard Error t Stat P-value Lower 95% Intercept -13361.1 1087.671766 -12.2841 6.21526E-33 -15494.8608 age 257.2881 11.88574319 21.64678 2.84861E-89 233.9712431 bmi 332.5701 27.72216553 11.99654 1.47163E-31 278.1862322 children 479.3694 137.6442183 3.48267 0.000512527 209.3461372 gender 131.1106 332.8107041 0.393949 0.693681495 -521.780121 smoker 23820.43 411.8428778 57.83865 O 23012.50222 region 353.64 151.9265899 2.327703 0.020077148 55.59834776 O a) 1 b) 2 c) 3 d) 4
Is there a difference among the 3 treatments in the table below? Test using α = .05 Complete the ANOVA table that follows as an aid (Recommend doing so on a separate sheet of paper, or separate document), then answer the questions that follow. Treatment A Treatment B Treatment C 2 3 2 ∑X2 = 280 2 3 4 G = 60 3 4 5 N = 15 3 5 6 k = 3 5 5 8 SS1 = 6 SS2 = 4 SS3 = 20 Source Sums of Squares df Mean Square FBetween SSbn dfbn MSbn FWithin SSwn dfwn MSwn Total SStot SStot =______ SSwn = ______ SSbn = ______
Given the following ANOVA table: Mean Degrees Source of of Variance Freedom Sum of Sum of F-stat Squares Squares Regression 5.4 Residual 48 2.507 Total What is the value of MSR? Please report your answer in 3 decimal places.
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I need a hypothesis, description and interpretation, please! Thank you!!
**Please complete table**
Consider the ANOVA table shown here for a one-way analysis of variance for an experimental design in which there are four treatment levels: Source Between Error Total Df 29 SS 485.50 715.50 The observed F value is ____. MS F
An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (in milliseconds): Color Scheme B/W R/W Y/B 10 17 23 26 44 44 22 21 25 22 21 4 16-17 11 32 34 31 24 20 16 20 21 36 8 8 24 37 23 11 39 36 23 17 28 32 36 31 Age 18-19 19 15 45 15 35 36 13 47 23 16 19 31 24 30 25 16 40 16 27 25 42 23 28 35 20-21 21 18 42 27 19 39 39 28 27 18 26 38 Using MS Excel, conduct a 2-way ANOVA with a = 0.05. Fill in the summary table. The last column in the table below is read as, "Partial Eta-squared " and is a concept that was NOT covered in the lectures. Partial n2 is used when there is a chance the data is not independent (click here to read more if interested 2) Computing the values for…
P-values should be accurate to 4 decimal places and all other values accurate to 3 decimal places. Source S df MS F-ratio P-value Partial n? Age (A) 2 Color (B) Interaction (A × B) 4 Error 63 Provide the conclusions for this 2-way ANOVA. What is the conclusion regarding the main effect for age (A or rows): O There appears to be an effect due to age. O There is not enough evidence to reject the assumption that the marginal means across age groups are equal. What is the conclusion regarding the main effect for color (B or columns): There appears to be an effect due to color. There is not enough evidence to reject the assumption that the marginal means across color groups are equal. What is the conclusion regarding an interaction effect between age and color (A x B): There appears to be an interaction effect between age and color. There is not enough evidence to reject the assumption of a lack of an interaction.
Data from a completely randomized experimental design with three treatments is given below
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? Source df SS Regression 2 984.715358 Residual 7 298.884642 Total 9 1283.600000 ANOVA MS F 492.357679 11.531217 42.697806 Significance F 0.006092 Copy Data Ĵ Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? Source df SS Regression 2 984.715358 Residual 7 298.884642 Total 9 1283.600000 ANOVA MS F Significance F 492.357679 11.531217 0.006092 42.697806 Copy Data
The key assumptions of the ANOVA include homogeneity of variance, normality of population distributions and: Independence of observations The DV must be measured on a nominal level The IV must be measured on a continuous level Variability of residuals

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