Refer to the ANOVA output below. A business researcher is investigating the process inputs that influence late orders (measured as % late) at a 0.05 significance level. Which of the following statements is TRUE?Group of answer choicesa. There's a chance an alpha error has been committed in this research analysisb. There's a chance a beta error has been committed in this research analysisc. The combination of Quantity and Order Frequency significantly influences Late Ordersd. Answers 1 and 2 only are truee. Answers 1, 2 and 3 are true General Linear Model: %LateOrder versus Quantity, Order Frequency, ...FactorТуреLevels ValuesQuantityOrder Frequency fixedProduct Type3 >3, 1-3, Inquire onlyDaily, Monthly, Weekly4 Cable, Connector, Memory, U-jointfixedfixedAnalysis of Variance for $LateOrder, using Adjusted SS for TestsSeq sS2 0.00042402 0.0009681SourceDFAdj SAdj MSFPQuantityOrder FrequencyProduct TypeQuantity*Order Frequency0.0002663 0.0001331 0.35 0.7160.0005522 0.0002761 0.72 0.5133 0.00047370.0004212 0.0001404 0.37 0.7794 0.0058178 0.0058178 0.0014545 3.79 0.045Error9 0.00345290.0034529 0.0003837Total200.0111365

Option e) is correct. Answers 1, 2 and 3 are truei) Since the p-value for the combination of Quantity and Order Frequency is less than 0.045, we reject the null hypothesis and conclude that it significantly influences Late Orders. ii) Since there are factors with a p-value greater than 0.05, we might fail to reject it when it was false.

Answered: Refer to the ANOVA output below. A…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Refer to the ANOVA output below. A business researcher is investigating the process inputs that influence late orders (measured as % late) at a 0.05 significance level. Which of the following statements is TRUE?

Group of answer choices

a. There's a chance an alpha error has been committed in this research analysis

b. There's a chance a beta error has been committed in this research analysis

c. The combination of Quantity and Order Frequency significantly influences Late Orders

d. Answers 1 and 2 only are true

e. Answers 1, 2 and 3 are true

General Linear Model: %LateOrder versus Quantity, Order Frequency, ...
Factor
Туре
Levels Values
Quantity
Order Frequency fixed
Product Type
3 >3, 1-3, Inquire only
Daily, Monthly, Weekly
4 Cable, Connector, Memory, U-joint
fixed
fixed
Analysis of Variance for $LateOrder, using Adjusted SS for Tests
Seq sS
2 0.0004240
2 0.0009681
Source
DF
Adj S
Adj MS
F
P
Quantity
Order Frequency
Product Type
Quantity*Order Frequency
0.0002663 0.0001331 0.35 0.716
0.0005522 0.0002761 0.72 0.513
3 0.0004737
0.0004212 0.0001404 0.37 0.779
4 0.0058178 0.0058178 0.0014545 3.79 0.045
Error
9 0.0034529
0.0034529 0.0003837
Total
20
0.0111365

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