O Ho: Average time spent online by age does not differ across activity type O Ho: u1-u2-u3=u4: Average time spent online does differ across activity type O Ho: u1-u2-u3; Average time spent online does differ across activity type O Ho: u1-u2: Average time spent online does not differ across activity type

ENGR.ECONOMIC ANALYSIS
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ISBN:9780190931919
Author:NEWNAN
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Chapter1: Making Economics Decisions
Section: Chapter Questions
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General Linear Model: TimeOnline versus Aci
Factor Information
Type Levels Values
d, s
Factor
ActivityT Fixed 2
Fixed 3
m, o, y
Age
Analysis of Variance
Source
DF Adj SS Adj MS F-Value P-Value
ActivityT
31084 31083.6 37.49
0.000
Age
2.
11485 5742.7 6.93
0.010
ActivityT Age 2
2936
1468.1 1.77 0.212
Enor
12 9949
829.1
Total
17 55454
O Ho: Average time spent online by age does not differ across activity type
O Ho: u1-u2-u3=u4: Average time spent online does differ across activity type
O Ho: u1-u2-u3; Average time spent online does differ across activity type
O Ho: u1-u2: Average time spent online does not differ across activity type
Transcribed Image Text:General Linear Model: TimeOnline versus Aci Factor Information Type Levels Values d, s Factor ActivityT Fixed 2 Fixed 3 m, o, y Age Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value ActivityT 31084 31083.6 37.49 0.000 Age 2. 11485 5742.7 6.93 0.010 ActivityT Age 2 2936 1468.1 1.77 0.212 Enor 12 9949 829.1 Total 17 55454 O Ho: Average time spent online by age does not differ across activity type O Ho: u1-u2-u3=u4: Average time spent online does differ across activity type O Ho: u1-u2-u3; Average time spent online does differ across activity type O Ho: u1-u2: Average time spent online does not differ across activity type
A marketing firm wants to place adds where people spend an extended time online. They
take a sample of ActivityT: dating and shopping websites and code the response variable:
time spent online (in minutes) for various age groups (Young, Middle, Old) of people. The
marketing firm wants to test whether average time spent online differs based upon these
Ledu
Problem 1
two factors
The results of the 2-way Anova is above, choose the correct hypothesis for activity type
Table 1. Amount Time Spent Online at Dating vs Shopping Sites by Age Group
Young
Middle Age
Older
Dating
48 58 39
35 78 123
53 49 78
Shopping
127 95 89
187 192 226
100 89 122
General Linear Model: TimeOnline versus ActivityT, Age
Factor Information
Factor
Type Levels Values
ActivityT Fixed 2
d, s
Age
Fixed 3
m, о, у
Transcribed Image Text:A marketing firm wants to place adds where people spend an extended time online. They take a sample of ActivityT: dating and shopping websites and code the response variable: time spent online (in minutes) for various age groups (Young, Middle, Old) of people. The marketing firm wants to test whether average time spent online differs based upon these Ledu Problem 1 two factors The results of the 2-way Anova is above, choose the correct hypothesis for activity type Table 1. Amount Time Spent Online at Dating vs Shopping Sites by Age Group Young Middle Age Older Dating 48 58 39 35 78 123 53 49 78 Shopping 127 95 89 187 192 226 100 89 122 General Linear Model: TimeOnline versus ActivityT, Age Factor Information Factor Type Levels Values ActivityT Fixed 2 d, s Age Fixed 3 m, о, у
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