the value in (f) of the above table? [ Select ] 7. What's the value in (g) of the above table? [Select ] 8. Which are the null and alternative hypotheses for this ANOVA test? [ Select ] 9. What is the conclusion at 5% significance level? [Select ] 10. Had there only been two methods (instead of three) in this study, we might have chos between an ANOVA test of multinlo mo

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Question 6-10 only
válue in (f) of the above table?
[ Select ]
7. What's the value in (g) of the above table?
[ Select ]
8. Which are the null and alternative hypotheses for this ANOVA test?
[ Select ]
9. What is the conclusion at 5% significance level? [Select ]
10. Had there only been two methods (instead of three) in this study, we might have chosen
between an ANOVA test of multiple means or a t test for the difference of two means. Which
the following would be the case? [ Select ]
Transcribed Image Text:válue in (f) of the above table? [ Select ] 7. What's the value in (g) of the above table? [ Select ] 8. Which are the null and alternative hypotheses for this ANOVA test? [ Select ] 9. What is the conclusion at 5% significance level? [Select ] 10. Had there only been two methods (instead of three) in this study, we might have chosen between an ANOVA test of multiple means or a t test for the difference of two means. Which the following would be the case? [ Select ]
Three different methods for assembling a product were proposed by an industrial engineer. To
investigate the number of units assembled correctly with each method, 30 employees were
randomly selected and randomly assigned to the three proposed methods in such a way that each
method was used by 10 workers. The number of units assembled correctly was recorded, and the
analysis of variance procedure was applied to the resulting data set. The following results were
obtained: SST = 10,800; SSTR = 4560.
Use the following to set up the ANOVÀ table and THÊN complete the questions below.
Source of Variation
Sum of
Degrees of
Freedom
Mean
F test
p-value
Squares
4560
Square
(e)
statistic
Between Treatments
(b)
(g)
(h)
Within Treatments
(a)
(c)
(f)
Total
10800
(d)
Transcribed Image Text:Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 10,800; SSTR = 4560. Use the following to set up the ANOVÀ table and THÊN complete the questions below. Source of Variation Sum of Degrees of Freedom Mean F test p-value Squares 4560 Square (e) statistic Between Treatments (b) (g) (h) Within Treatments (a) (c) (f) Total 10800 (d)
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